Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable We’ll help you gain Experience working in more »
enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure
enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for more »
Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational or customer experience-related problems such as more »
agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description more »
the agile framework and processes enabling every function to turn requirements and ideas into insights that support data based decisions. Adopt DevOps, DataOps and MLOps frameworks and best practices as the standard for all data engineering across the company. Development and monitoring of MI and AI engineering quality metrics and more »
Warehouse concepts Champion Data Compliance and Data Governance Experience working with Azure Cloud Experience incorporating and integrating AI and ML components Experience in DataOps, MLOps and AIOps Frameworks Proficiency in SQL and NoSQL Proficiency in Python Experience in Data Visualisation Tools such as Tableau, PowerBI, etc. Familiarity with containerisation and more »
Surrey, England, United Kingdom Hybrid / WFH Options
Hawksworth
for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors more »
to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering more »
MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »
and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »
to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering more »
datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions. Deep understanding of more »
e.g., Git) PREFERRED QUALIFICATIONS: Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary up to £100,000 + bonus. Comprehensive benefits package including more »
W1B, Piccadilly Circus, Greater London, United Kingdom
ADLIB Recruitment
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart more »
Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. more »
manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from LLMs. Connect and collaborate with subject matter experts in different business areas. Make impactful contributions to internal discussions on emerging machine more »
Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »
Wandsworth, Greater London, Dundonald, United Kingdom
DataBuzz
Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »
Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services more »
overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. Key Skills Required: Solid understanding as a Security Architect, with more »
and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment more »
Experience: Experience in implementing production machine learning systems in a commercial environment. DevOps Knowledge: Good knowledge of DevOps in a Data Science context (e.g., MLOps) is a plus.Why Join Us? Innovative Environment: Work with cutting-edge technology in a dynamic and innovative environment. Impactful Work: Contribute to the safety and more »
Experience: Experience in implementing production machine learning systems in a commercial environment. DevOps Knowledge: Good knowledge of DevOps in a Data Science context (e.g., MLOps) is a plus. Why Join Us? Innovative Environment: Work with cutting-edge technology in a dynamic and innovative environment. Impactful Work: Contribute to the safety more »
