1,126 to 1,150 of 4,810 Machine Learning Jobs in the UK

AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing/logistics environments Growth Path Evolve into AI-focused work: ML models, LLM copilots, real-time analytics Choose your track — AI engineer, data More ❯

AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing/logistics environments Growth Path Evolve into AI-focused work: ML models, LLM copilots, real-time analytics Choose your track — AI engineer, data More ❯

cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration. What you'll be doing • Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software … observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to … experience you'll need to be successful • A master's degree or above in Computer Science, Electrical Engineering or a related field. • 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. • Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow More ❯

Responsibilities Design and deliver data science solutions that drive business outcomes Lead the development of predictive and optimisation models using Python, Databricks, and GCP Enhance the businesses AI and ML capabilities to modernise the data platform Collaborate with stakeholders to understand their goals and ensure analytics work is aligned to practical business requirements Lead and take ownership of discrete workstreams … the long-term development of the data science function Requirements Experience in a data science leadership position Expert use of Python, PySpark, and PyTorch Strong experience with AI and ML best practice and development Databricks and GCP experience Strong business and commercial acumen Excellent stakeholder management My client have already began holding interviews for this role. So if you’re More ❯

successful, growing company where people can thrive. Enabling the strategic changes, GSK Tech is undergoing a fundamental transformation building new and advanced capabilities in Cybersecurity, Cloud Computing, AI/ML, Generative AI, Data & Analytics, Software Engineering and Product Management. As part of this new organization, the Medical Cx and Data Team is responsible for Product Management encompassing Medical Cx and … end-to-end content lifecycle. The Senior Product Owner will work with the business to develop roadmaps for their product domain while partnering with our Data Science, AI/ML Engineering and other product engineering teams to deliver on the agreed priorities. In scope are the products that ensure compliant content at scale for commercial and emerging new products that … the enterprise. The Senior Product Owner should have a background in pharmaceutical content governance, compliance and regulatory processes supporting content creation and approvals. Additionally, they understand how AI/ML/GenAI can be used to streamline and accelerate content approval and GenAI to create new and derivative content. They will work collaboratively with stakeholders to agree on priorities within More ❯

of them. We ask that our team members be physically located in the Central European time zone for the purposes of our collaboration hours. We are looking for a Machine Learning Engineer (MLE II) to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with … users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists, and data engineers in prototyping and productizing state-of-the-art ML models that allow us to find the right audience for content that is strategically important, such as fresh or timely content. What You'll Do Develop and implement production systems … that enrich and improve our listeners' experience on the platform Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Help drive optimization, testing, and tooling to improve quality of our recommendations Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning tech research, data science More ❯

maintain high performance. Experience/Qualifications Required: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 3+ years of experience in AI/ML applications, computer vision, or embedded systems. Experience working with AI/ML vendors or third-party AI APIs/models. Familiarity with video analytics, edge AI, or dashcam technologies is More ❯

locations London Full time Posted 2 Days Ago End Date: June 30, 2025 (3 days left to apply) What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure …/CD pipelines for model deployment, scoring, and operational monitoring. Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and … delivery check-ins). Learn from senior team members and contribute to continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience More ❯

Hiring: Snr. Databricks ML Engineer Remote (UK-based) | Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Our Shipamax Data Science team seeks a highly skilled and motivated Machine Learning Engineer with 2+ years' of experience. This team sits within Wisetech's Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of goods worldwide. You would join a team of experienced data … scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere. Job Overview As a Machine Learning Engineer, you will bring research into practice, developing new and improving existing machine learning models, expanding our existing product offerings. You will work closely with our R&D and Product teams to successfully integrate … improve existing ones. Deliver impressive data extraction software that meets and exceeds customer expectations. Responsible for the quality and ongoing evaluation of our data sets on existing and new - ML models in pre-launch and in production. Requirements MSc in Computer Science, other STEM subjects, or comparable work experience. 2+ years of working experience in data science in a commercial More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯

in AI. The Job You will have a good academic background, ideally from a top university and have experience of developing and designing scalable web apps, writing and testing ML scripts in python. Required Skills and Experience: ● High level of expertise in Python; experience with PyTorch is a bonus. ● Strong expertise in JavaScript and associated frameworks and libraries, specifically Typescript More ❯

in AI. The Job You will have a good academic background, ideally from a top university and have experience of developing and designing scalable web apps, writing and testing ML scripts in python. Required Skills and Experience: ● High level of expertise in Python; experience with PyTorch is a bonus. ● Strong expertise in JavaScript and associated frameworks and libraries, specifically Typescript More ❯

environment. Expertise with SQL, R or Python and data visualisation tools such as Tableau for full-stack data analysis, insight synthesis and presentation. Well versed with Applied Statistical/ML techniques. Demonstrated ability dealing with ambiguity and juggling between multiple priorities, to lead high quality work adhering to tight deadlines Preferred Qualifications Experience in the Financial Services or Fintech space. More ❯

best practices in CI/CD (using GitHub) for productionising and maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI More ❯

best practices in CI/CD (using GitHub) for productionising and maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI More ❯

role Own the cloud architecture of production solutions across AWS and Azure Design, build and manage infrastructure-as-code Develop CI/CD pipelines to support data engineering and ML/AI model delivery Influence security, cost-efficiency, scalability and standards Lead cloud architecture decisions in project scoping and architecture reviews Contribute to internal capability building in DevOps, cloud strategy More ❯

stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to AI/ML-based systems. Benefits: A hybrid working policy that balances collaboration in the office with flexibility at home. The opportunity to work on cutting-edge technology with real-world impact. A More ❯

stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to AI/ML-based systems. Benefits: A hybrid working policy that balances collaboration in the office with flexibility at home. The opportunity to work on cutting-edge technology with real-world impact. A More ❯

best practices in CI/CD (using GitHub) for productionising and maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired to build a better future with us. If you're excited More ❯