1,301 to 1,325 of 2,376 Machine Learning Jobs in the UK excluding London

scale the AI roadmap as the team grows, with a clear path to Head of AI You'll have Strong engineering background with experience deploying production-grade AI or ML systems Skilled in Python or similar languages, with exposure to modern AI frameworks and MLOps Experience working in cloud-native environments (Kubernetes, Terraform, CI/CD) Comfortable engaging with clients More ❯

Ability to work effectively in a hybrid environment (4 days on-site in Edinburgh). Nice to Have Experience in financial or banking data environments. Familiarity with AI/ML frameworks (e.g., LangChain, OpenAI API, Hugging Face). Exposure to large-scale data migration or ETL projects. What’s Offered Competitive salary and benefits package. Opportunity to work on a More ❯

Ability to work effectively in a hybrid environment (4 days on-site in Edinburgh). Nice to Have Experience in financial or banking data environments. Familiarity with AI/ML frameworks (e.g., LangChain, OpenAI API, Hugging Face). Exposure to large-scale data migration or ETL projects. What’s Offered Competitive salary and benefits package. Opportunity to work on a More ❯

Ability to work effectively in a hybrid environment (4 days on-site in Edinburgh). Nice to Have Experience in financial or banking data environments. Familiarity with AI/ML frameworks (e.g., LangChain, OpenAI API, Hugging Face). Exposure to large-scale data migration or ETL projects. What’s Offered Competitive salary and benefits package. Opportunity to work on a More ❯

Ability to work effectively in a hybrid environment (4 days on-site in Edinburgh). Nice to Have Experience in financial or banking data environments. Familiarity with AI/ML frameworks (e.g., LangChain, OpenAI API, Hugging Face). Exposure to large-scale data migration or ETL projects. What’s Offered Competitive salary and benefits package. Opportunity to work on a More ❯

rankers in JEE/NEET/GATE. Experience developing original high-quality problems (Olympiad/JEE Advanced/GATE level). Familiarity with providing structured feedback for AI/ML models. Personal Attributes & Soft Skills Detail-oriented, analytical, and critical thinker. Strong pedagogical aptitude and communication skills. Organized, proactive, and efficient in fast-paced environments. Collaborative, adaptable, and comfortable with More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

and collaboration skills. Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data More ❯

For A consultancy background with proven ability to partner with clients and stakeholders Strong technical experience across Python, Node.js, TypeScript and modern data engineering (Postgres) Exposure to AI/ML, particularly large language models, is highly desirable Exceptional communication skills - able to clearly articulate technical ideas to non-technical audiences Entrepreneurial mindset, excited by building something new, disruptive, and high More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold or are required to go through the More ❯

reliable and secure data environments. Present architectural solutions and roadmaps to senior stakeholders and technical leadership. Innovation & Strategy Stay current with emerging trends in cloud data services, AI/ML integrations, and data governance. Contribute to the cloud data strategy and roadmap, identifying opportunities for automation, cost optimization, and innovation. Required Qualifications 6-10 years of experience in data architecture More ❯

under tight deadlines. Nice-to-Have Experience with logistics, courier operations, or related business processes. Familiarity with microservices architecture and containerisation (Docker/Kubernetes). Exposure to AI/ML solutions and how they integrate into SaaS products. Previous experience in early-stage startups or high-growth environments Whats on offer: Genuinely competitive basic salary and meaningful options in a More ❯

ensuring alignment with enterprise architecture and strategy. Drive innovation through research, prototyping, tool evaluations and the adoption of emerging technologies , including low-code/no-code platforms, AI/ML, and event-driven architectures. Champion continuous improvement in development methodologies, tools, and processes, contributing to the definition and governance of internal standards and best practices. Lead improvements to drive efficiencies More ❯

ensuring alignment with enterprise architecture and strategy. Drive innovation through research, prototyping, tool evaluations and the adoption of emerging technologies , including low-code/no-code platforms, AI/ML, and event-driven architectures. Champion continuous improvement in development methodologies, tools, and processes, contributing to the definition and governance of internal standards and best practices. Lead improvements to drive efficiencies More ❯

and technical expertise in theory and implementation of Digitised Manufacturing with experience using relevant software packages and associated manufacturing technologies.Specific knowledge and experience in related technical areas such as machine connectivity, enterprise systems, data visualisation and analysis, machine learning and cyber security.Experience of collaborative working in multidisciplinary research and development teams To be successful at shortlisting stage More ❯

be both hands-on and strategic: shaping the technology roadmap, delivering core features, and setting the foundations for future team growth. Work at the intersection of cloud, AI/ML, and industrial robotics Influence a product roadmap focused on predictive analytics and customer-driven ML models Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS … and delivering cloud-based SaaS products Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Experience with data visualisation and analytics platforms Knowledge of machine learning, image processing, or predictive analytics Exposure to IoT or industrial data More ❯

the best scientific approach to the problem, working on critical projects. You will collaborate with others in your team on the best solution, have a particular focus on developing ML solutions for production, and will work on all stages of the ML lifecycle. Our Data Scientists are currently focused on several important projects. They're creating personalised recommendations to engage … These Are Some Technologies That Our Data Scientists Use (we Don't Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog … Package Uplift Model What We're Looking For Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment A strong understanding of Data Science techniques, including ML algorithms and statistical methods Proficient in building ML pipelines with Python An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams Experience collaborating on Data Science More ❯

t just another dev job. You'll be part of a collaborative engineering culture that values curiosity, autonomy, and technical excellence. You'll work on projects that span: AI & Machine Learning Integration - powering smarter, data-driven decisions. Cloud-Native Architecture - building scalable microservices on AWS. Secure Systems Engineering - delivering robust solutions for regulated sectors. Modern Front-End Development … Lambda, ECS, S3, etc.) Front-end development skills with React.js , TypeScript , or Angular.js Familiarity with CI/CD pipelines and DevOps tooling Bonus points for experience with: AI/ML technologies Kubernetes or container orchestration Serverless architecture Security-first development in regulated environments What's In It for You Flexible Work Week - Choose your hours with TOIL options Remote-First … Culture - Work from anywhere in the UK, with optional office access Career Coaching - Regular 1:1s with a dedicated coach to support your growth Learning & Development - 5 paid training days per year + premium resources Inclusive Culture - Join a diverse team that values innovation, collaboration, and continuous improvement Competitive Package - Up to £80K DOE + comprehensive benefits including pension More ❯

where the GPU, NPU (Neural Processing Unit) and other modules are designed for deep, synergistic cooperation. Your work will be critical to unlocking the full potential of neural rendering, machine learning and other technologies where traditional rasterization pipelines seamlessly fuse with real-time neural networks to generate imagery. You will be the bridge between our software and hardware … mapping neural networks efficiently onto tensor cores. Hands-on experience implementing or optimizing neural rendering technologies (e.g., NeRF, DLSS/FSR, neural graphics primitives). Deep understanding of the ML compiler stack (e.g., MLIR, LLVM). Experience with hardware virtualization (SR-IOV) for GPU/NPU resources. What we offer 33 days annual leave entitlement per year (including UK public … Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development More ❯

GenomeKey is a Bristol based biotech startup developing a next-generation diagnostic device for bloodstream infections, using machine learning and DNA sequencing. Within GenomeKey we provide an encouraging environment where knowledge is shared and professional development is supported across both technical and non-technical skillsets. Join GenomeKey to help build a world where nobody dies from a treatable … oriented Engineer with excellent systemic thinking and organisational skills. You have a passion for identifying and solving complex technical challenges with creative, scalable solutions. You are enthusiastic about continuous learning and applying fundamental engineering principles to innovative problem solving. You ll thrive at the intersection of disciplines, collaborating closely with biologists, engineers, and computer scientists to assist in the … with varying technical backgrounds, ensuring clear communication and shared understanding across the business. You will bring a proactive, adaptable approach, embracing the fast-paced, evolving environment of a startup, learning on the job, and rising to new challenges with enthusiasm. Qualifications & Experience: We are open to varied backgrounds for this role but are looking for candidates who bring most More ❯