276 to 300 of 948 Machine Learning Jobs in the UK excluding London

a python/PHP SW stack. Assemble high quality prompts to create company internal benchmarks for AI agents similar to MLEBench and BFCL. Qualifications: Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. More ❯

AI Engineer/ML Engineer - CRYPTO - REMOTE We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML. They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design … and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform's functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology's evolution and … solidifying the company's status as a leader in blockchain analytics. You will need: Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability. Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience. Stay up More ❯

environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity More ❯

environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity More ❯

without requiring a move into management or sales, allowing individuals to focus on what they do best-engineering high-quality, scalable data solutions. Why Join? This organisation values continuous learning and personal growth. Team members benefit from a dedicated learning allowance, enabling them to shape their own development journey. Paid overtime and a strong emphasis on work-life … with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools and frameworks Experience with More ❯

Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning … across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model … and excellence. Track and report on ROI and business value delivered from predictive initiatives to senior leadership. What We’re Looking For 8+ years’ experience in data science and ML, with at least 2 years in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in More ❯

Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning … across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model … and excellence. Track and report on ROI and business value delivered from predictive initiatives to senior leadership. What We’re Looking For 8+ years’ experience in data science and ML, with at least 2 years in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in More ❯

Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning … across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model … and excellence. Track and report on ROI and business value delivered from predictive initiatives to senior leadership. What We’re Looking For 8+ years’ experience in data science and ML, with at least 2 years in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud 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 ❯