301 to 325 of 948 Machine Learning Jobs in the UK excluding London

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

for electronic trading systems. Build and optimise components for real-time data processing, order execution, and market connectivity. Collaborate with quants, traders, and data scientists to integrate AI and machine learning models into trading workflows. Implement microservices and APIs for internal and external system integration. Optimises system performance, scalability, and fault tolerance for high-availability environments. Participate in … time, high-throughput systems (ideally in finance or trading). Familiarity with electronic trading platforms, FIX protocol, or market data feeds is a strong plus. Exposure to AI/ML frameworks or data science tools is desirable. Proficiency in SQL and experience with relational databases (e.g. SQL Server, PostgreSQL). Experience with cloud infrastructure (Azure, AWS, or GCP) and DevOps More ❯

prototypes and POCs showcasing the value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical More ❯

Key Responsibilities Set the vision and roadmap for the data science function, fostering scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives … for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science … with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights More ❯

Key Responsibilities Set the vision and roadmap for the data science function, fostering scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives … for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science … with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights More ❯

Key Responsibilities Set the vision and roadmap for the data science function, fostering scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives … for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science … with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights More ❯

and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL More ❯

and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL More ❯

and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL More ❯

Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Are you ready to join the forefront of … model Additional Information Benefits: Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

the power of Data & AI to drive exceptional value. As Data & AI Engineer, you will directly influence client success and growth via key responsibilities, including: Designing, developing and deploying machine learning models Creating scalable AI solutions Developing and maintaining CI/CD pipelines Transforming data into actionable insights designed to drive business growth As Data & AI Engineer, you More ❯

role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or More ❯

role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or More ❯

role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or More ❯

Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of housing initiatives and recommend improvements. Machine Learning Applications Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Data Governance: Maintain data quality, security, and compliance with GDPR and other regulations. Stakeholder Collaboration Work More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

internal expert on Data and AI, the Director collaborates with executive colleagues to develop data-enabled solutions for strategic challenges and influences the adoption of advanced technologies such as machine learning, generative AI, and digital twins. They must communicate effectively with both technical and non-technical audiences. Externally, the role involves engaging with the board, shareholders, and regulators … Deep expertise in data strategy, governance, architecture, and enterprise data platforms. Extensive experience delivering large data programmes, ideally alongside CRM or ERP transformations. Strong technical knowledge of AI/ML, cloud data platforms, and visualization tools like Power BI and Azure. Excellent strategic thinking and problem-solving skills, translating business goals into data-driven solutions. Effective communicator with the ability More ❯