76 to 100 of 230 Machine Learning Jobs in the North of England

Industry experience ideally in Defence, Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including HiL, is desirable. Understanding of the More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

of our data platform and machine learning ecosystem. This is a platform-focused role, deeply technical but not architectural, working across high-volume data pipelines and predictive ML models to improve data quality, scale, and performance. Key Responsibilities: Own the data product roadmap and define the vision for the data platform. Manage internal data projects with high customer … Key Requirements: 5-10 years of experience in data roles, with at least 3 years in Data Engineering or Data Science. Strong technical knowledge of large-scale data platforms, ML workflows, and analytics. Experience in SaaS, digital, or consumer tech product companies. Excellent communication and presentation skills, able to translate technical concepts to non-technical stakeholders. Product ownership mindset; not More ❯

communicate. You’ll be part of the team that manages and scales our massive speech corpora, builds automated pipelines for cleaning and validation, and works closely with annotation and Machine Learning teams to keep our models at the cutting edge. This is a pivotal moment for ConnexAI as we expand our speech technology capabilities and push the boundaries … to generate data-driven insights. Document data processes and tools, ensuring all datasets and analyses are well-documented, reproducible, and compliant with internal standards. Collaborate closely with data scientists, ML engineers, and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data More ❯

communicate. You’ll be part of the team that manages and scales our massive speech corpora, builds automated pipelines for cleaning and validation, and works closely with annotation and Machine Learning teams to keep our models at the cutting edge. This is a pivotal moment for ConnexAI as we expand our speech technology capabilities and push the boundaries … to generate data-driven insights. Document data processes and tools, ensuring all datasets and analyses are well-documented, reproducible, and compliant with internal standards. Collaborate closely with data scientists, ML engineers, and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data More ❯

communicate. You’ll be part of the team that manages and scales our massive speech corpora, builds automated pipelines for cleaning and validation, and works closely with annotation and Machine Learning teams to keep our models at the cutting edge. This is a pivotal moment for ConnexAI as we expand our speech technology capabilities and push the boundaries … to generate data-driven insights. Document data processes and tools, ensuring all datasets and analyses are well-documented, reproducible, and compliant with internal standards. Collaborate closely with data scientists, ML engineers, and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data More ❯

embedded into daily operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting More ❯

embedded into daily operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting More ❯

Skills & Experience: Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What’s In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an More ❯

Skills & Experience: Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What’s In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 💰 Up to £600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle—from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 💰 Up to £600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle—from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 💰 Up to £600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle—from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor More ❯