276 to 300 of 993 Machine Learning Jobs in the UK excluding London

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

+ excellent benefitsRequirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subjectStrong knowledge of cybersecurity and attacker techniquesGood understanding of networking and network securityKnowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

exciting early stage of growth. The role Our client is hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind their sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running … embedded software in C and C++ for microelectronics, sensors and other subsystems. Implement and optimise communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems ...

high-performing data solutions. As part of a highly collaborative consulting team, you will design, build and optimise scalable Snowflake solutions that enable analytics, machine learning and AI-driven outcomes. You will work closely with clients and business stakeholders, helping organisations modernise their data platforms and establish trusted … deployment and operational handover. Develop and maintain ETL processes using SQL, Python and Snowflake technologies. Design robust data models to support reporting, analytics, machine learning and AI use cases. Lead client workshops and stakeholder discussions to understand business and technical requirements. Implement data governance, security, access controls ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running in live deployments. Because of the nature of our work … embedded software in C and C++ for microelectronics, sensors, and other subsystems. Implement and optimize communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems ...

ready to step up. We'd love to hear from current Directors or Heads of AI, as well as Lead or Principal AI/ML Engineers who are ready for their first senior leadership role. What you'll do Define and lead the organisation's AI strategy and roadmap, reporting … team. Identify and deliver AI opportunities across client services, professional delivery, internal operations, knowledge management and commercial growth. Work with Generative AI, LLMs, Machine Learning, RAG, vector search and knowledge graphs. Build and lead a cross-functional AI team, bringing together engineers and professional subject matter experts. Establish ...

strategy, including governance models, architecture standards, control frameworks, and risk management approaches. Assess security implications of AI technologies, large language models, autonomous agents, machine learning platforms, and emerging AI-driven capabilities. Collaborate with IT and Information Security leadership to prioritize cybersecurity investments and roadmap initiatives based on risk … security fundamentals including Operational Technology. Strong knowledge of AI technologies, AI governance frameworks, AI security controls, and emerging risks associated with generative AI and machine learning systems. Experience interpreting and applying cybersecurity regulations, industry standards, and compliance requirements. Proven ability to work effectively across technical, business, and executive ...

Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s): Cheltenham or London Type : 4 days on-site, 1 day at home Salary: £54,000 - £64,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must be a sole British National Sanderson Government & Defence ...

direction Working with cloud-native infrastructure and containerised applications Applying strong analytical and mathematical thinking to engineering problems Working alongside teams using AI and machine learning within the wider technology environment Technology Python | Java | GCP | Docker | REST APIs | Distributed Systems | Event-Driven Architecture | Streaming | Real-Time Data | AI/ML What We're Looking For We're looking for engineers with strong backend foundations who have worked on technically demanding systems where speed, reliability ...

technical stakeholders. Develop practical software engineering skills through structured mentoring. Technology Exposure You'll gain experience across: Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT & M2M Solutions Unified Communications (UCaaS) Contact Centre Technologies (CCaaS) Enterprise Software Cyber Security & IT Infrastructure ...

teams to deliver and support secure and scalable AI solutions. Read on for more details... Experience required: Practical experience building and deploying AI or machine learning solutions into production, rather than purely academic, research or proof-of-concept experience. Strong Microsoft AI technology experience, particularly Copilot Studio, Azure … Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with ...

across software, systems, and interfaces. Designing and testing system behaviour under degraded communications, including store-and-forward, prioritisation, and security controls. Deploying and evaluating machine learning models for edge use cases such as computer vision or signal processing, with a focus on measurable performance and operational constraints. Building … around your strengths, interests, and the needs of the business. Possible rotations include: Software Engineering: mobile applications, geospatial tools, systems integration, and test evidence. Machine Learning Engineering: deployable models for edge CV and SIGINT, with measurable performance. Systems Engineering: user need through requirements, architecture, integration, verification, and fielding. ...

large or business-critical datasets. Knowledge of manufacturing, production, quality or R&D systems. Experience with Python or data analysis. Knowledge of data science, machine learning, probability or statistics. Relevant degree or equivalent commercial experience. WHAT WE'RE LOOKING FOR We're looking for an experienced SQL Server … solutions, working collaboratively with developers and business stakeholders, and supporting business-critical systems. Experience with C#, .NET, JavaScript/jQuery, Python, Data Science or Machine Learning would be advantageous, but the key requirement is strong commercial SQL Server and T-SQL expertise. ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer ETL/Data Warehouse Engineer Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

Engineer - Graduate Considered: Contribute to various technical tasks to support research and development objectives, gaining hands-on experience across software engineering, data science, and machine learning in a dynamic start-up setting. Work alongside team members to design and develop software solutions addressing the companys unique challenges. Develop … techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Joining founders who are well-versed in taking graduates ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

function; lead advanced analytical programmes supporting strategic planning, commissioning, population health management, and evaluation; develop and apply forecasting, predictive, risk, segmentation, scenario, simulation and machine-learning methods where these strengthen decision-making; lead the development and assurance of analytical tools, including population segmentation, risk stratification and case-finding … B. Advanced analytics and modelling Lead complex analytical projects using appropriate statistical, data science and operational research methods. Apply techniques such as predictive modelling, machine learning, forecasting, segmentation, optimisation, simulation, systems modelling and scenario analysis where they add value. Ensure methods reflect the decision context, data quality, implementation ...

through to deployment and optimization. Design, develop and scale time series forecasting models to drive business decision-making Work cross-functionally with Data Engineers, ML Engineers and product teams to deliver production-ready solutions Translate complex data science concepts into clear, actionable insights for both technical and non-technical stakeholders … track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across ...

seeking an experienced Security Data Engineer to design and deliver scalable security data platforms, pipelines and integrations. The role will enable security analytics, machine learning and Security Knowledge Graph use cases by providing reliable, governed and timely security data across enterprise environments. Key Responsibilities Build scalable batch … Experience developing and integrating APIs . Experience with event streaming . Cloud data engineering experience. Experience designing scalable data pipelines and architectures. Understanding of ML engineering and feature/data pipeline requirements . Experience with graph databases . Understanding of Security Knowledge Graph concepts. Experience integrating ServiceNow, Dynatrace or comparable ...