476 to 500 of 3,716 Machine Learning Jobs in England

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep … seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working closely with AI/ML engineers to deploy and scale models in production environments Contributing to architecture and design discussions, helping shape the technical direction of new products Building and maintaining CI/CD pipelines … Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist) A problem-solving mindset and passion for building software that drives impact Why join More ❯

where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep … seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working closely with AI/ML engineers to deploy and scale models in production environments Contributing to architecture and design discussions, helping shape the technical direction of new products Building and maintaining CI/CD pipelines … Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist) A problem-solving mindset and passion for building software that drives impact Why join More ❯

changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of the Regulatory Genome Project (RGP), a pioneering public-private partnership with the University of Cambridge, Judge … describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global regulatory bodies … To support our ambitious growth plans, we’re hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands-on role More ❯

month initial contract - London/Hybrid Role Purpose We are seeking a skilled Data Specialist to join our transformation programme, focusing on oneAdvanced. This role will leverage data science, machine learning, and advanced analytics to drive insights, automation, and optimisation across Finance, Supply Chain, HR, and Operations functions within oneAdvanced. You will be instrumental in building predictive models … to enhance reporting, analytics, and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and … experience as a Data Specialist, Machine Learning Engineer, or Advanced Data Analyst, preferably in an enterprise oneAdvanced environment. • Strong expertise in Python/R, SQL, XML, Azure ML, and Power BI. • Experience with Azure Data Factory, Synapse Analytics, and Dataverse. • Familiarity with the oneAdvanced data model (Finance, Supply Chain, HR, Procurement, etc.). • Strong background in statistics, predictive More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and … of models. About You/Qualifications Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

some of the best known brands in the UK turn first-party data into real business advantage. To be clear.....This isn’t a maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning … and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation More ❯

of APIs, assisting in understanding requirements and potential solutions for robust data exchange within our product. Assist in AI Integration: Aid in the research and documentation of AI and machine learning concepts to support the integration process into our systems, potentially assisting in basic implementation tasks under supervision. Testing Support: Assist in conducting testing activities under guidance, including … in Computer Science, Software Engineering, or a related field. API Understanding: Awareness of RESTful API design principles and some exposure to server-side development concepts. Introduction to AI and ML: Some exposure to AI and machine learning concepts, such as basic understanding of supervised and unsupervised learning. Database and Backend Basics: Basic understanding of databases (SQL or NoSQL … Communication Skills: Clear verbal and written communication skills, with an eagerness to collaborate with team members and learn from their expertise. Curiosity and Eagerness to Learn: A passion for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or More ❯

of APIs, assisting in understanding requirements and potential solutions for robust data exchange within our product. Assist in AI Integration: Aid in the research and documentation of AI and machine learning concepts to support the integration process into our systems, potentially assisting in basic implementation tasks under supervision. Testing Support: Assist in conducting testing activities under guidance, including … in Computer Science, Software Engineering, or a related field. API Understanding: Awareness of RESTful API design principles and some exposure to server-side development concepts. Introduction to AI and ML: Some exposure to AI and machine learning concepts, such as basic understanding of supervised and unsupervised learning. Database and Backend Basics: Basic understanding of databases (SQL or NoSQL … Communication Skills: Clear verbal and written communication skills, with an eagerness to collaborate with team members and learn from their expertise. Curiosity and Eagerness to Learn: A passion for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or More ❯

of APIs, assisting in understanding requirements and potential solutions for robust data exchange within our product. Assist in AI Integration: Aid in the research and documentation of AI and machine learning concepts to support the integration process into our systems, potentially assisting in basic implementation tasks under supervision. Testing Support: Assist in conducting testing activities under guidance, including … in Computer Science, Software Engineering, or a related field. API Understanding: Awareness of RESTful API design principles and some exposure to server-side development concepts. Introduction to AI and ML: Some exposure to AI and machine learning concepts, such as basic understanding of supervised and unsupervised learning. Database and Backend Basics: Basic understanding of databases (SQL or NoSQL … Communication Skills: Clear verbal and written communication skills, with an eagerness to collaborate with team members and learn from their expertise. Curiosity and Eagerness to Learn: A passion for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or More ❯

be found at . As at 31 March 2025 The Team We are looking for an AI engineer to help us build solutions that utilise the latest GenAI and Machine Learning techniques and capabilities. This role will allow you to work at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that … touch every part of our business. Working within our Machine Learning Technology team, you will help to build out the core AI platform and infrastructure used across Man Group. Alongside this, you will also partner and consult with teams across the business to help create agents and tools that augment, automate and ultimately transform our investment and operational … maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Manage the full lifecycle of domain-specific models, including training, fine-tuning, validation, deployment, and monitoring in production environments Keep up to date with the latest in More ❯

You will study part-time towards the AI Level 6 qualification while working on live projects. We’re looking for someone with a solid technical foundation in AI and Machine Learning whether gained through academic study, self-learning, or hands-on experience who is ready to apply their skills in a dynamic, real-world environment. You’ll … practical project work Who we’re looking for: You may be: A graduate or undergraduate in Computer Science, AI, Data Science, or related fields A self-taught AI/ML practitioner with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python … and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience with ASR or captioning tools Knowledge of accessibility standards (e.g. WCAG) Exposure to cloud platforms (e.g. AWS, Azure) Experience in client-facing roles or service More ❯

the best scientific approach to the problem, working on critical projects. You will collaborate with others in your team on the best solution, have a particular focus on developing ML solutions for production, and will work on all stages of the ML lifecycle. Our Data Scientists are currently focused on several important projects. They're creating personalised recommendations to engage … These Are Some Technologies That Our Data Scientists Use (we Don't Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog … Package Uplift Model What We're Looking For Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment A strong understanding of Data Science techniques, including ML algorithms and statistical methods Proficient in building ML pipelines with Python An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams Experience collaborating on Data Science More ❯

on relevant platforms, such as Databricks, while working closely with our technology partners. The focus will be on actionable insights and pre-empting key trends to deliver on-demand, ML-powered insights to business leaders across the firm. Key Responsibilities: - Contributing across the data science lifecycle, including problem framing, exploratory data analysis (EDA), pipeline engineering (ETL/ELT), feature engineering … modelling, evaluation, deployment, and monitoring, with guidance from senior business leaders. - Utilizing Databricks for analytics and machine learning, including notebooks (Python/SQL/R), Delta Lake for … reliable data, Unity Catalog for governed access and lineage, MLflow for experiment/model tracking, and collaborating with IT to implement Jobs/Workflows for scheduling recurring analytics/ML tasks. - Building towards a single source of truth (SSOT) by integrating disparate datasets and leveraging Python and PySpark on Databricks. - Implementing quality measures such as unit/integration tests, data More ❯

Senior Data Scientist (Full-Stack ML & LLMs) Location: Hybrid - Remote/London (UK) Reporting to: Technical Lead (Senior Data Scientist) About Us We are a high-growth, venture-backed health tech startup on a mission to transform how healthcare assessments are understood and utilized. Founded by health economics academics and backed by leading investors, we are building a novel, data … our Technical Lead to architect and execute the data strategy that powers our entire product. Your primary mission will be to design, build, and own the end-to-end ML pipelines that ingest, structure, and enrich our HTA/MA database. This involves everything from scraping complex web data to experimenting with and deploying Large Language Models (LLMs) for information … while building the frameworks for human-in-the-loop validation. You will have a direct and visible impact on our product and our business. Key Responsibilities End-to-End ML Pipeline Ownership: Take charge of the entire ML lifecycle, from conceptualising impactful applications to deployment and monitoring. Data Ingestion & Engineering: Design, build, and maintain robust data ingestion pipelines, including custom More ❯

Senior Data Scientist (Full-Stack ML & LLMs) Location: Hybrid - Remote/London (UK) Reporting to: Technical Lead (Senior Data Scientist) About Us We are a high-growth, venture-backed health tech startup on a mission to transform how healthcare assessments are understood and utilized. Founded by health economics academics and backed by leading investors, we are building a novel, data … our Technical Lead to architect and execute the data strategy that powers our entire product. Your primary mission will be to design, build, and own the end-to-end ML pipelines that ingest, structure, and enrich our HTA/MA database. This involves everything from scraping complex web data to experimenting with and deploying Large Language Models (LLMs) for information … while building the frameworks for human-in-the-loop validation. You will have a direct and visible impact on our product and our business. Key Responsibilities End-to-End ML Pipeline Ownership: Take charge of the entire ML lifecycle, from conceptualising impactful applications to deployment and monitoring. Data Ingestion & Engineering: Design, build, and maintain robust data ingestion pipelines, including custom More ❯

Senior Data Scientist (Full-Stack ML & LLMs) Location: Hybrid - Remote/London (UK) Reporting to: Technical Lead (Senior Data Scientist) About Us We are a high-growth, venture-backed health tech startup on a mission to transform how healthcare assessments are understood and utilized. Founded by health economics academics and backed by leading investors, we are building a novel, data … our Technical Lead to architect and execute the data strategy that powers our entire product. Your primary mission will be to design, build, and own the end-to-end ML pipelines that ingest, structure, and enrich our HTA/MA database. This involves everything from scraping complex web data to experimenting with and deploying Large Language Models (LLMs) for information … while building the frameworks for human-in-the-loop validation. You will have a direct and visible impact on our product and our business. Key Responsibilities End-to-End ML Pipeline Ownership: Take charge of the entire ML lifecycle, from conceptualising impactful applications to deployment and monitoring. Data Ingestion & Engineering: Design, build, and maintain robust data ingestion pipelines, including custom More ❯

reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 4+ years experience building enterprise-grade applications. Strong backend skills in Python More ❯

and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and … enhance tooling for data lineage, contracts, monitoring, and cataloguing. Operational excellence: Lead automation, monitoring, and incident response to maintain high platform reliability. Cross-functional collaboration: Work with data scientists, ML engineers, analysts, and product teams to understand and meet their data needs. Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR More ❯

and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and … enhance tooling for data lineage, contracts, monitoring, and cataloguing. Operational excellence: Lead automation, monitoring, and incident response to maintain high platform reliability. Cross-functional collaboration: Work with data scientists, ML engineers, analysts, and product teams to understand and meet their data needs. Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR More ❯

and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and … enhance tooling for data lineage, contracts, monitoring, and cataloguing. Operational excellence: Lead automation, monitoring, and incident response to maintain high platform reliability. Cross-functional collaboration: Work with data scientists, ML engineers, analysts, and product teams to understand and meet their data needs. Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR More ❯