851 to 875 of 1,022 Data Science Jobs in England

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics in production. Develop and maintain tools for model versioning, reproducibility, and experiment tracking. The Role As an MLOps Engineer … will support these products from inception. This requires working across the full data ecosystem: developing application-specific data pipelines (features), building CICD pipelines that automate the training and deployment of machine learning models, publishing the model results for downstream consumption, and/or building out the APIs that ...

autonomously engage with users and tools, create frontend user workflows, orchestrate Kubernetes clusters, and create APIs and observability infrastructure. Working closely with our Data Scientists, you will also implement novel frontend components to visualise data and support customer insight generation and decision-making. Skills Outstanding Python, FastAPI, asyncio ...

autonomously engage with users and tools, create frontend user workflows, orchestrate Kubernetes clusters, and create APIs and observability infrastructure. Working closely with our Data Scientists, you will also implement novel frontend components to visualise data and support customer insight generation and decision-making. Skills Outstanding Python, FastAPI, asyncio ...

Pricing Optimisation Data Scientist £600-700 per day Inside IR35 3 months The Role As a Pricing Optimisation Data Scientist, you will work closely with product, commercial, and engineering teams to design, build, and deploy pricing models. You will analyse large datasets, run experiments, and deliver actionable insights … models using Python and SQL Analyse customer behaviour, demand elasticity, and price sensitivity Design and evaluate A/B tests and pricing experiments Build data pipelines and analytical datasets to support pricing decisions Translate complex analytical results into clear insights for stakeholders Collaborate with product managers and engineers ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...