2,301 to 2,325 of 8,396 Machine Learning Jobs in the UK

and operations research methodologies. Experience with optimization tools and frameworks (Pyomo, GAMS, Gurobi, etc.). Experience with discrete-event based simulation. Developing and/or applying data modeling and machine learning methodologies. Experience with statistical and mathematical modeling environments (R, Python, MATLAB, etc.). Experience with programming languages such as Python, Java, C#, C++. A working knowledge of More ❯

product strategies based on user needs and business plans that extend to our global markets. Empower Business initiatives and facilitate decision making from both a user-centric perspective and machine learning capability. Minimum Qualifications: Recent 5+ years of experience in product management (mobile apps and web apps) in creating/mapping customer user journey experience from end to More ❯

We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world … and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. • Develop, maintain … and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI and OSINT. System Optimization & Support • Monitor More ❯

s working, what's not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap … day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections. The Finish Line: If you are an experienced Senior Product Analyst with More ❯

deploy open-source models in cloud environments, optimizing inference and serving costs. Improve and maintain data pipeline reliability and participate in on-call rotations. Debug and fix issues in ML pipelines, even when the cause is obscure. Collaborate with cross-functional teams to integrate AI models into production systems. Clearly articulate the work you’ve done and the impact you … Meetups and regular team-building remote events: Enjoy occasional meetups and monthly game sessions. Generous Vacation: Take time off when you need it. Growth Opportunities: Continuous professional development and learning support. Dynamic Culture: Be part of a fast-moving, high-impact team. Stock Options: Get equity in our growing startup. Contacts Log In Only registered users can open employer More ❯

our business units. Our Technology teams offer you an environment full of exciting challenges - whether it's supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our IT department, with around 300 employees, works mostly in an agile manner using a Scrumban approach and covers areas such as More ❯

s working, what’s not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap … day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections. The Finish Line: If you are an experienced Senior Product Analyst with More ❯

Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. ? Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine … and care for millions of pets. This role is central to making that happen. ? What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate … with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward ? What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Passion for engineering & strong track record of delivering More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

Advanced AWS Connect certifications and Kinesis integration expertise Experience with contact centre analytics and reporting tools API management experience with AWS API Gateway Experience with additional AI services and machine learning workflows Competitive salary that rewards your exceptional skills Comprehensive pension plan for your future Bupa healthcare coverage for your wellbeing Access to a premium flexible benefits platform More ❯

to promote AI capabilities across teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming skills in Python (AI pipelines) and TypeScript (full-stack integration). … tuning, and deploying LLMs in production environments, including performance monitoring and optimization. Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. Knowledge of LLM security challenges More ❯

of financial industry security requirements and regulatory compliance frameworks ## Qualifications * Master's degree in Cybersecurity or related field * Experience in the financial services industry * Knowledge of AI/ML security considerations and controls * Experience building custom security tools and integrations * AWS Certified Security Specialty or other relevant security certifications * Experience with phishing simulation platforms and security awareness programs * Familiarity … allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack Corporate events, including team outings, dinners, volunteer activities and company sports teams Education reimbursement and learning opportunities Modern offices with multi-monitor setups #J-18808-Ljbffr More ❯

and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes More ❯

Job ID: 2897950 | Amazon Development Center (Tel Aviv) About our organization: We are part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the most personalized shopping experiences for our customers. About the team Our vision is to deliver a More ❯

of Beamery's newest products. We own Beamery's Job Architecture Portal and associated backend APIs. We sit in Beamery's AI vector and collaborate daily with knowledge engineers, ML engineers, and data scientists. We help customers optimise their workforce planning by giving them tools and insights to help them quickly and easily visualise, define and manage their job architecture. … company culture that champions creativity by championing a welcoming atmosphere where team members are empowered to openly share their thoughts and innovative ideas. Participate in company-wide initiatives and learning & development opportunities, such as tribes, hackathons, and programs like Women in Engineering, to foster a diverse and inclusive culture. WHO ARE WE LOOKING FOR? Strong experience in developing and More ❯

mentor team members. Experience in robotics or automation industries. Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes. Knowledge of AI, machine learning, or advanced sensor technologies is a plus. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. Opportunity to work on the latest More ❯

open minded to the opportunities the cloud provides. What you'll be doing Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. Using industry leading toolsets, as well as evaluating exciting new technologies to design More ❯

logic Have experience in developing highly scalable, fault-tolerant, distributed systems utilising AWS services such as API Gateway, Lambda, DynamoDB, SQS, SNS, and EventBridge Are knowledgeable about AI and machine learning fundamentals, including decision trees, logistic regression, and neural networks Have prior experience integrating OpenAI or constructing Agentic AI systems, and are open to utilising AI tools like More ❯

development. Promote an environment focused on mentorship, feedback, and continuous learning across the annotation organization You’ll Need To Have 10+ years of experience in annotations, AI/ML workflows, or related domains, including 7+ years of people management experience Consistent track record running large-scale annotation or data labeling programs. Deep understanding of generative AI systems and the More ❯

access principles, and assuming breach to limit risk. Comfortable with creating and maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong problem-solving abilities and effective More ❯

Fluent Japanese and English language skills (speaking, reading, and writing) PREFERRED QUALIFICATIONS - MBA Degree or equivalent - Broad technology experience including: cloud architecture, applications development, relational databases, NoSQL databases, analytics, machine learning, networking, security, storage, DevOps, containers, serverless, CI/CD, management and monitoring, cloud migrations, IT transformation. - Experience architecting/designing solutions ideally built on the cloud (AWS More ❯

Kotlin Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

business objectives. Requirements What we're looking for? 2-3+ years experience in Data Engineering, ETL Development, or Database Administration. Prior experience working with business intelligence, analytics, or machine learning teams. Experience in cloud-native data solutions and real-time data processing. Proficiency in Python, SQL (for ETL & data transformation). Knowledge of GDPR, data security best More ❯

Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯