Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
The MachineLearning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … maintaining our machinelearning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow more »
MachineLearning Engineer at Cerberus Capital Management As a machinelearning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »
London, England, United Kingdom Hybrid / WFH Options
AWTG Ltd
Internet of Things, and Software. We are seeking a Python Developer to join our team and play a key role in developing and deploying machinelearning models into production. You will leverage your expertise in Python, FastAPI, and cloud platforms (AWS, GCP, Azure) to design, develop, and maintain … for containerization and orchestration of applications. Deploy, monitor, and manage applications on cloud platforms such as AWS, GCP, and Azure. Develop and fine-tune machinelearning models, with a focus on state-of-the-art techniques and LLMs. Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and … processing. Collaborate with data scientists and other team members to integrate machinelearning models into production systems. Stay up-to-date with the latest industry trends and advancements in machinelearning and AI technologies. Perform code reviews, mentor junior developers, and contribute to the overall improvement more »
Our client is a leading fintech company dedicated to revolutionizing the financial services industry. They leverage advanced analytics, machinelearning, and cutting-edge technology to deliver innovative financial solutions to their clients. Their mission is to make financial services more accessible, efficient, and personalised. Job Description: We are … behalf of our client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machinelearning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist … and collaborate with cross-functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machinelearning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to more »
Our clients in the Pharmaceutical Manufacturing industry are looking for a motivated MachineLearning Operations Engineer to join their UK team. As a MachineLearning Engineer, you will play a crucial role in taking AI models from scientific research to production, ensuring seamless integration and scalability. … skillset of our existing team by sharing best practices, conducting workshops, and fostering a culture of continuous learning. Infrastructure as Code (IaC) with Azure ML and Terraform: Leverage Azure MachineLearning services and Terraform to build scalable and reproducible ML infrastructure. Automate deployment, configuration, and management of ML … Qualifications: 5+ years' experience as a MachineLearning Engineer Proven experience using Azure and Terraform to build, deploy, and manage high-quality ML models Must be well-versed in Infrastructure as Code (IaC) Experience implementing the core principles of ML Ops: Version control, automation, continuous X and model more »
MachineLearning Manager Belfast £130,000 + Bonus This client revolutionises the way companies manage and interpret their communications - they spot business critical signals that their clients can use for real innovation and growth. Their Belfast office employs some of the most talented engineers in the industry - they … constantly raise the bar. Their MachineLearning Function is a key part of the company, and they are looking for an experienced MachineLearning Manager to join. The role: Lead an agile team of MachineLearning Engineers across different geographical locations - tech lead, mentoring … innovation Work with internal tech teams to design solutions, work with other business leaders to influence outcomes The person Strong technical experience - python, NLP, ML-Ops, ML frameworks, algorithms, statistical techniques Experienced with cloud platforms, microservices and event driven architecture CI/CD tools, containerised platforms Strong leadership experience, influencing more »
practices including Diversity and Inclusion. Role : MachineLearning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the constraints that … Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machinelearning fundamentals Ability to take MachineLearning models and implement them as part of data pipeline IT platform implementation experience Experience … environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of the modern distributed MachineLearning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure more »
hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine … us achieve that goal by:Building software and infrastructure that leverages MachineLearning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty more »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
We're looking for a Lead MachineLearning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machinelearning models. As part of … your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machinelearning models with ease. What will you do as a Lead MachineLearning Engineer at N Brown? Lead a team of engineers to create, maintain … equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value MachineLearning brings to the business. An excellent understanding of object-oriented programming (in more »
The OpportunityReporting into the Head of AI Platforms, the ML/Gen AI Lead will manage all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production for the enterprise AI platforms.The RoleCollaborate with project teams to ensure that ML/Gen AI solutions … augmentation pipelines.Train models and tuning their hyperparameters, analyzing the errors of the model and designing strategies for continuous improvement pipeline.Develop machinelearning (ML) or Gen AI models with knowledge of commercial and open source LLMs.Work with big data and perform statistical analysis of data.Implement deep learning frameworks … ExperienceMinimum Bachelor's degree or equivalent required.4+years of experience in machinelearning and artificial intelligence, with a focus on developing and implementing ML and AI solutions.Understanding of machinelearning and artificial intelligence algorithms, techniques, and best practices.Proficiency in at least one programming language (e.g., Python, R more »
Senior MachineLearning Engineer Paying up to £110,000 Hybrid in London High-performing AI Start-up La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior … language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification. Key Responsibilities: Implement state-of-the-art ML techniques and integrate them into our product pipeline. Develop and refine foundational LLM binary code embeddings. Research and innovate new methods using graph-based models … Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and deploying AI models to cloud service providers is preferred. Ideally 3-5 years experience in a similar role. If this role sounds of more »
and Artificial Intelligence Products. You will lead a team of MachineLearning Engineers and Data Scientists that are continually experimenting with new ML/AI techniques and supporting the many MachineLearning models that are already key to Bazaarvoice’s business. You will work closely with … leadership and other teams to ensure the availability of our services, provide a stable and efficient platform, and enable other teams to strategically incorporate ML into their Products. You’re an excellent leader, communicator, innovative and self-motivated, with a positive approach to teamwork. You have a passion for people … years of Engineering Leadership delivering products at scale Hands-on experience with MachineLearning frameworks and algorithms Proven track-record of leading ML-enabled products from idea to delivering value in production Bachelor's Degree in Computer Science or equivalent Experience developing products on Public cloud Hosting platforms more »
My client are looking for MachineLearning driven quant researchers who either have industry experience (Tech/Finance) or are coming straight from a PhD to be based in London, or Switzerland. Key Responsibilities: Develop and implement machinelearning models to analyze and predict market trends. … researchers to integrate models into trading strategies. Optimize existing models and algorithms to improve performance and accuracy. Stay updated with the latest advancements in machinelearning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in MachineLearning, Computer … Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machinelearning techniques to real-world problems, preferably in a financial context. Strong programming skills in Python, R, or similar languages. Solid understanding of statistical methods and quantitative research methodologies. more »
contract basis. We are looking for out and out MLE's with strong commercial MachineLearning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages MachineLearning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing … systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the … full machinelearning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). more »
Senior MachineLearning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a MachineLearning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a fast-growing health … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a MachineLearning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior MachineLearning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »
Senior MachineLearning Engineer - London - Exciting Health-Tech Start-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a MachineLearning Engineer/Software Engineer looking for an exciting and challenging position? Here’s your chance to be a part of a fast-growing … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a MachineLearning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior MachineLearning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »
AI/Python/Data scientist/MachineLearning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, MachineLearning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/MachineLearning Engineer/OCR/Deep Learningmore »
I am currently on the lookout for a Security Cleared MachineLearning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop and deploy machinelearning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machinelearning models for performance and efficiency. Ensure compliance with security standards and best practices. Troubleshoot and debug issues as they arise. Document code, processes … and procedures. Requirements: Extensive experience working as a MachineLearning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure MachineLearning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machinelearning frameworks such as TensorFlow, PyTorch, or more »
to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machinelearning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing cloud-based … great. Circa 5+ years of serious commercial experience working on a range of complex problems, across varied data types and machinelearning (ML)/artificial intelligence (AI) approaches*, with multiple live solution deployments. Proven ability to successfully tackle a broad swathe of our interesting problems catalogue. Of course … code and notebook documentation. Experience of working in a Cloud environment (we use AWS to run an EMR based platform), including experience of scaling ML solutions using Spark. Experience across common supervised, unsupervised, semi-supervised, reinforcement machinelearning techniques What technical skills are required Accomplished Python coder. Data more »
and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machinelearning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that … Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, MachineLearning, or Natural Language Processing are considered as well.Proficient years managing research or engineering teams in MachineLearning, Natural Language Processing … shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machinelearning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team more »
knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machinelearning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machinelearning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machinelearning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »
MachineLearning Engineer As a MachineLearning Engineer, do you want to join an innovative AI R&D organisation developing cutting-edge AI solutions?Do you enjoy fine-tuning LLMs and deploying models to production as a MachineLearning Engineer?As a MachineLearning Engineer, your role will be key for Application Development. You'll be at the forefront of their delivery function implementing, fine-tuning and deploying Large Language Models (LLMs) and Transformer Models in the PropTech space.You'll report into the CTO and work closely with Analysts and Engineers … to take ownership over product delivery, if you have a product mindset and enjoy problem solving keep reading!Your role:Create, implement, and maintain ML Model pipelines.Fine-tune LLMs for optimal performance.Evaluate and fine-tune the performance of production models.Collaborate with the software development team to deploy models to production.We more »
week OVERVIEW One of the most established and innovative MachineLearning Research Labs in the UK are hiring for an AI/ML Researcher. This innovation hub sits within one of the world's largest tech & manufacturing brands and is a great career opportunity for an AI Researcher … as an AI/MachineLearning Researcher will include but not be limited to: Work within a strong team of AI/ML Researchers, on prototypes that will ultimately make a huge impact on the business. Explaining key research projects and concepts to internal business stakeholders. Deliver cutting … edge AI/ML resarch work within a strong team to drive innovation within the company. YOUR SKILLS & EXPERIENCE Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of AI , machinelearningmore »
MachineLearning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machinelearning algorithms and experience in using at least one deep learning framework. more »
MachineLearning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture … of MachineLearning Engineer will include: Develop and deploy machinelearning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … Engineer, your background will include: A minimum of fours years industry experience in machine learning. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »