76 to 100 of 216 Machine Learning Jobs in the East of England

decisions that matter. You’ll work alongside the VP, Product in a product function that punches well above its size, complementing our engineering and ML teams with product leadership, aligning our roadmap across sales, research and GTM. This is a role for someone with genuine technical depth who wants … business.Evolving the product roadmap for your area: Bringing customer and market insight as well as technical context to build defendable prioritisation decisions.Partnering closely with ML researchers and engineers: To translate technical requirements and realities into product decisions. Understanding what trade-offs need to be agreed and how to deliver efficiently.Working ...

operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience ...

Management to play a pivotal role in organising our work across product development and commercial partnerships at Qureight. We need to translate cutting-edge ML models into validated, deployable, revenue-generating solutions used in clinical trials and drug development. Reporting to the COO, this is a high-impact leadership position … will do... Own and embed the OKR framework across the company, driving alignment from leadership through to execution. Lead delivery and execution of our ML-based product suite Coordinate across ML, engineering, clinical, and commercial teams to ensure delivery against an ambitious, evolving product roadmap. Work closely and collaboratively with ...

Azure Desirable Docker and Kubernetes experience Experience with AWS, or Google Cloud Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

Search is hiring exceptional Machine Learning Engineers and Researchers to join its first ML team. The role focuses on C++ based ML development, strong statistics, and mathematical foundations, with 5+ years of experience requested in the posting. You will work directly with a visionary founder to build core ...

improvements, data standardisation and reporting/consumption for AI. Experience with automation/analytics tooling — Power BI, Power Platform, Power Automate.Experience applying AI/ML models and/or generative AI tools to real business problems.Solid understanding and knowledge of data privacy, sensitivity, and responsible AI principles.Experience working with … products and translate analytical outputs into decisions.Desirable Experience with HR or workforce platforms such as Workday, SAP SuccessFactors, or equivalentRelevant certifications in AI/ML, Power BI, Microsoft Azure, or data privacyWhy RES? Work that matters — your analysis will inform decisions at ExCo and Board level in a company actively ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

/layout optimizations tailored to spatial processors.Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues.What we need to see:MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience … stand out from the crowd:Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.Demonstrated research impact, such as publications or presentations at conferences like PLDI ...

organisation is growing its technical team and offers structured mentorship from senior scientists and engineers. What the job involves The role centres on applying machine learning to unusual, real-world problems, often without an existing playbook to follow. You'll combine off-the-shelf tools with custom-built … similar) Some evidence of research capability, from postgraduate study, personal projects, or applied experience Confident Python developer, comfortable with at least one common ML framework Broad exposure to different ML approaches, or a track record of picking up new areas quickly A rigorous, analytical mindset with genuine curiosity about ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. … Receive United Kingdom: Competitive salary, annual bonus, pension scheme, health insurance, 24 days annual leave, flexible working arrangements, employee recognition scheme, and learning and development opportunities. Netherlands: Temporary employment for 1 year with a probation period and flexible working; learning and development opportunities; indefinite employment contract based ...

skills.Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices.Understanding of machine learning fundamentals, including model behavior, evaluation and testing.Demonstrated ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability ...

excludes scientific R&D and drug discovery responsibilities and instead focuses on enabling commercial excellence and supply chain resiliency through advanced analytics, generative AI, machine learning, and intelligent automation. The individual leader will drive enterprise-scale AI adoption focused on operational efficiency, demand forecasting, customer engagement, revenue optimization ...

flakiness analysis, failure pattern recognition, and automated root cause identificationExcellent verbal and written communication skillsSome working knowledge of C++Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation)#LI-AB3What's Roku's approach to hybrid working Roku ...

design overall beneficial solutions to large scale AI infrastructure problems. You will build system models and architectural simulations to explore the design space, conduct ML-system co-design to align hardware capabilities with the demands of agentic AI and large-scale inference workloads, and contribute to software system prototypes that …/training infrastructure. Experience in building high-performance LLM inference systems using SGLang or vLLM. Publications in top computer architecture, systems, and/or ML conferences. Research Sciences IC4 - The typical base pay range for this role across United Kingdom is 74,700.00 - 122,600.00 per year. Certain roles ...

Taxation, Business Administration (MBA), or a related technical field.CPA certification.Experience in a global multinational corporate environment.Experience with advanced technologies such as RPA, AI, or machine learning in a tax context.Additional Information:The Company is committed to diversity and equality of opportunity for all and is opposed ...

with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop ...

several of the following: Computational physics Applied mathematics Signal processing Numerical modelling and simulation Statistical analysis Optimisation Scientific computing Data analysis Sensor fusion Machine learning for physical systems Quantum computing or quantum technologies Experience with Python, MATLAB, C++, Julia or similar technical computing environments would be advantageous. ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely ...

Central Engineering Machine Learning Group is seeking a Senior Software Engineer to design and implement an SDK for ML workloads, targeting next generation GPU hardware and cross-platform deployment. You will work on open-source style tooling, collaborate across teams in a hybrid environment, and have the opportunity … grow expertise in ML, graphics, and compute APIs while delivering production-quality software. #J-18808-Ljbffr ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

United States Digital Space LLC is building a multinational Machine Learning Hardware Architecture team in Cambridge to craft the direction of ML technology. You will develop tools that expose hardware features and evaluate performance, collaborating with hardware architects to define software interfaces for new features. The role emphasizes ...