126 to 150 of 485 Machine Learning Jobs in the East of England

to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to … Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Experience in … one or more of: distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects or More ❯

a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of scientists and engineers focused on … originality, rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet … open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging More ❯

transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We … are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with an … and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model More ❯

and ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published … work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject More ❯

applying relevant data standards, policy and dataflow management processes. Analysing technical and business risks associated with solutions and developing mitigation strategies. Identify and evaluate emerging technologies in AI/ML, GEOINT, and data analytics to ensure solutions are innovative and mission-ready. Lead cross-functional teams in implementing scalable, secure, and interoperable systems, ensuring adherence to industry and regulatory standards. More ❯

and wellbeing across your team. Lead by example in cultivating a high-trust, high-performance environment. Stay at the forefront of security innovation and emerging technologies, including AI and ML in the cyber domain. What We’re Looking For: A minimum of 10 years' experience across the security lifecycle, ideally with proven success leading cyber operations within a complex, global More ❯

Ofcom, during policy development processes and industry engagement activities. The purpose and scope of the role We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The successful candidate will play a … with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance on AI/ML technologies to policy, supervision and enforcement teams. Advise on the technical feasibility and risks of proposed regulatory interventions. Translate complex AI concepts into actionable recommendations for senior leaders, policy experts … and external stakeholders. AI/ML Research Independently lead AI/ML research projects—ranging from literature reviews of publishable standard to experimental studies — on new capabilities, system performance, safety, and effectiveness, often in collaboration with multidisciplinary internal teams (e.g., lawyers, economists, data scientists). Explore novel and emerging AI/ML techniques that may impact online safety, such as More ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering challenges. … workflows, from interactive agents to intelligent automation tools. Architect, implement, and maintain scalable LLM systems suitable for large-scale, multi-user environments. Build production ready, high quality AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost … Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and optimising LLM + ML driven applications. Proficiency in Python and common ML/AI libraries; comfortable with full-stack system design from prototyping to production deployment. Familiarity with one or more LLM stacks (OpenAI More ❯

defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a broad portfolio of AI/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation … often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ML solutions with practical applications. Support the generation of new business through the preparation of successful R&D proposals. Present technical work effectively to both specialist and non-specialist audiences. Take … research and development teams, typically with five or more members. Strong record in securing and delivering funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or More ❯

defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a broad portfolio of AI/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation … often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ML solutions with practical applications. Support the generation of new business through the preparation of successful R&D proposals. Present technical work effectively to both specialist and non-specialist audiences. Take … research and development teams, typically with five or more members. Strong record in securing and delivering funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or More ❯

defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a broad portfolio of AI/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation … often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ML solutions with practical applications. Support the generation of new business through the preparation of successful R&D proposals. Present technical work effectively to both specialist and non-specialist audiences. Take … research and development teams, typically with five or more members. Strong record in securing and delivering funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or More ❯

within a leading-edge AI and data science capability. This is a unique opportunity to shape the future of knowledge-driven AI, working at the intersection of knowledge graphs, machine learning, NLP, and semantic reasoning-supporting missions across defence, security, and advanced technologies. Working within a multi-disciplinary research team, you'll lead the development of innovative solutions … capability. What you'll be doing: Leading technical delivery of applied AI projects in NLP, semantics, and knowledge representation Developing prototypes and proof-of-concept tools using Python and ML frameworks Securing research funding and writing technical proposals Mentoring junior researchers and providing technical leadership across graph and semantic AI Presenting to customers and stakeholders across defence, security, and research … communities What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven More ❯

within a leading-edge AI and data science capability. This is a unique opportunity to shape the future of knowledge-driven AI, working at the intersection of knowledge graphs, machine learning, NLP, and semantic reasoning-supporting missions across defence, security, and advanced technologies. Working within a multi-disciplinary research team, you'll lead the development of innovative solutions … capability. What you'll be doing: Leading technical delivery of applied AI projects in NLP, semantics, and knowledge representation Developing prototypes and proof-of-concept tools using Python and ML frameworks Securing research funding and writing technical proposals Mentoring junior researchers and providing technical leadership across graph and semantic AI Presenting to customers and stakeholders across defence, security, and research … communities What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven More ❯

within a leading-edge AI and data science capability. This is a unique opportunity to shape the future of knowledge-driven AI, working at the intersection of knowledge graphs, machine learning, NLP, and semantic reasoning-supporting missions across defence, security, and advanced technologies. Working within a multi-disciplinary research team, you'll lead the development of innovative solutions … capability. What you'll be doing: Leading technical delivery of applied AI projects in NLP, semantics, and knowledge representation Developing prototypes and proof-of-concept tools using Python and ML frameworks Securing research funding and writing technical proposals Mentoring junior researchers and providing technical leadership across graph and semantic AI Presenting to customers and stakeholders across defence, security, and research … communities What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven More ❯

projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept … relevant field with 4+ years of post-doctoral or industry experience. Proven experience leading R&D teams (5+ people) and securing funding. Strong Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information … extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply More ❯

technology consultancy is seeking a Research Scientist – Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities • Drive applied and novel research in knowledge representation, semantics, and graph-based ML • Lead the delivery of technical reports, research proposals, and PoC demonstrators • Mentor junior researchers and manage technical delivery across projects • Present findings to both technical and non-technical audiences • Engage … R&D teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable More ❯

devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and … product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of … Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs More ❯

Client is looking for a talented and driven developer to join their agile team and help build cutting-edge solutions that combine traditional software engineering with emerging AI/ML technologies. About the Role: This hybrid role offers a unique blend of traditional application development and the exciting opportunity to work on AI/ML-driven solutions. You’ll collaborate … tools. Contribute to the full development lifecycle—from brainstorming new ideas to deploying and maintaining production systems. Drive innovation within our .NET platform while integrating cutting-edge AI/ML technologies. Collaborate with a cross-functional team to solve complex business problems through tech solutions. Required Skills & Experience: Strong experience in either C#/.NET or Python with the ability … DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You’ll Love This Role: Collaborative Culture: The More ❯

Required: Mid-Level Python Developer with knowledge of AI or ML tools Are you an experienced developer passionate about AI technologies? Do you want to be part of an innovative team that’s shaping the future of subscription platforms? Out Client is looking for a talented and driven developer to join their agile team and help build cutting-edge solutions … that combine traditional software engineering with emerging AI/ML technologies. About the Role: This hybrid role offers a unique blend of traditional application development and the exciting opportunity to work on AI/ML-driven solutions. You’ll collaborate with both internal teams and clients to create tools that leverage AI for automation, enhanced decision-making, and real-time … DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Some expereince of C# .Net Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You’ll Love More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the … following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and More ❯

Job ID: Evi Technologies Limited The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist on our team you will work with talented … of the art in multi-modal AGI models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech generation. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual … with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the More ❯

for customers through integration of software libraries and hardware developed by Blaize with packages and applications from across the Linux ecosystem. Development and integration of applications and systems for machine learning, DNNs, AI and computer vision systems. Work with Sales/FAE and customers to provide technical expertise and debugging to enable customer … designs and products to be brought to production. Demo, PoC and prototype system development. Design, develop, test, and debug solutions for AI and Machine Learning based systems. ML network bringup and optimization for Blaize hardware. GStreamer based application development. Development of systems to run as standalone embedded systems. Analyze and enhance efficiency, stability, and scalability of system resources. … BEng or BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience. 5+ years of relevant experience. Solid practical experience of: Languages: Python, C/C++, OpenCL, CUDA ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx Linux Environment Task and Data parallel/concurrent systems AI Network optimisations: quantization, compression (pruning etc.) Experience developing and delivering on projects using best More ❯

to be part of a newly formed, high-performance team building enterprise-grade AI from the ground up. What You’ll Be Doing: Designing, developing, and deploying AI/ML solutions using Python and modern ML frameworks. Building and fine-tuning Large Language Models (LLMs) , working with embedding models and vector databases. Creating agentic workflows and tools that simulate decision … tools within a modern Azure cloud infrastructure (or similar). Supporting ongoing AI experimentation and driving continuous model improvement. Keeping up to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals More ❯

directly impact the development of novel disease mechanisms, the selection of therapeutic targets, and the discovery of novel biotherapeutics. You will bring your computer science background and AI/ML expertise to create and shape the development of our AI platform based on analysing large-scale genomics data. What this role will Involve Design and implement advanced AI models based … on transformers, variational autoencoders (VAE), etc. to integrate and model spatial and single-cell data. Evaluate and refine foundational model architectures, incorporating appropriate learning strategies and performance metrics. Contribute to AI architecture development by proposing innovative ideas and optimising existing frameworks for biological applications. Assemble, curate, and preprocess single-cell and spatial datasets from diverse tissues and diseases, leveraging … in AI innovation through peer-reviewed publications in method development (e.g., ICLR, NeurIPS, ICML, Nature, Science, Cell or similar). Expertise in training and inference of large AI/ML models on GPUs , including transformer and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch More ❯

labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa's performance in everyday More ❯