276 to 300 of 3,059 Machine Learning Jobs in England

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team go in twice a week … circa Hybrid: 2 days in‐office (Mondays & Wednesdays, non‐negotiable) in Victoria area, London Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer More ❯

reliable, repeatable processes. You’re familiar with Agile ways of working and enjoy being part of a fast-moving, iterative team. You’ve handled geospatial data or dabbled in machine learning, or maybe even both. You’ve built dashboards or reports using tools like Power BI, Power Query or Tableau. You’ve worked in a SharePoint environment and More ❯

reliable, repeatable processes. You’re familiar with Agile ways of working and enjoy being part of a fast-moving, iterative team. You’ve handled geospatial data or dabbled in machine learning, or maybe even both. You’ve built dashboards or reports using tools like Power BI, Power Query or Tableau. You’ve worked in a SharePoint environment and More ❯

reliable, repeatable processes. You’re familiar with Agile ways of working and enjoy being part of a fast-moving, iterative team. You’ve handled geospatial data or dabbled in machine learning, or maybe even both. You’ve built dashboards or reports using tools like Power BI, Power Query or Tableau. You’ve worked in a SharePoint environment and More ❯

reliable, repeatable processes. You’re familiar with Agile ways of working and enjoy being part of a fast-moving, iterative team. You’ve handled geospatial data or dabbled in machine learning, or maybe even both. You’ve built dashboards or reports using tools like Power BI, Power Query or Tableau. You’ve worked in a SharePoint environment and More ❯

reliable, repeatable processes. You’re familiar with Agile ways of working and enjoy being part of a fast-moving, iterative team. You’ve handled geospatial data or dabbled in machine learning, or maybe even both. You’ve built dashboards or reports using tools like Power BI, Power Query or Tableau. You’ve worked in a SharePoint environment and More ❯

team Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

Participate in team activities such as planning, retrospectives and reviews. Help lead technical discussions that drive better decision-making and outcomes. Mentor junior and mid-level developers, fostering a learning culture and helping others navigate complex technical challenges. Ensure strong observability, performance monitoring, and security are baked into everything we ship. Contribute to the technical vision of the product … engineering and context management. Familiarity with multiple LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Experience with AI/ML toolchains such as OpenAI, Hugging Face, LangChain, or custom model serving. Demonstrated ability to work on greenfield projects, defining new patterns, processes, and tooling from the ground up. Experience with More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require 2 days a week in the office. What will you be doing? Deploy and manage ML models across dev to production … at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity More ❯

AI/ML Engineer Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

Do you want to build agentic AI systems used by over 30 global retail brands? Looking to scale ML/LLM products in a fast-growing, post-Series A startup? Keen to work hands-on with MLOps, LLMs, and backend APIs in a high-impact role? *The role is largely remote, but you must be open to visiting HQ in … they’re growing their engineering team to meet rising client demand. This Senior AI Engineer will work across the business to ideate LLM use cases and own data pipelining, ML deployment and finetuning. Responsibilities: Build scalable backend systems powering ML/LLM-driven tools Design and maintain CI/CD-enabled MLOps pipelines Develop robust APIs to serve production AI … Collaborate with data scientists and product teams Optimise big data and cloud infrastructure (Azure/GCP) Requirements: 3+ years in data engineering or MLOps Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace) Proficient with Airflow, DBT, Docker, Kubernetes Cloud deployment experience (Azure preferred) Backend/API development experience with client-facing exposure Interested? Please apply below. More ❯

MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record … and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles If you’re passionate about pushing the boundaries of Generative and Agentic AI and want to work with a global team at the More ❯

MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record … and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles If you’re passionate about pushing the boundaries of Generative and Agentic AI and want to work with a global team at the More ❯