326 to 350 of 3,366 Machine Learning Jobs in England

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 ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle More ❯

core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain … the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. Develop data quality and governance frameworks. Requirements: 10+ years of experience in data engineering or AI/ML engineering. An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up. Deep familiarity with modern data stacks and cloud technologies … time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership Coaching and personal development programs Cycle 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 ❯

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 ❯

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 ❯

and Databricks. Ensure AI solutions adhere to governance standards and financial regulations, with a focus on ethical and compliant deployment. Your Profile: Skilled in identifying and articulating AI/ML, generative AI, and agentic AI use cases in banking and insurance, including credit decisioning, claims processing, fraud detection, and personalized banking. Proven ability to build compelling business cases and value … locations. Excellent client engagement skills, with a track record of working effectively with C-level stakeholders. Holds a data science or STEM degree with a solid foundation in AI, ML, and advanced analytics. Passionate about innovation and thought leadership in AI, consistently delivering creative solutions to complex business challenges. Technically proficient in LLMs, agentic AI frameworks, Gen AI factories, reusable More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯