51 to 75 of 162 Machine Learning Jobs in Cambridge

offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About The Role We partner with leading pharmaceutical and biotech companies … formats Resolve data quality and completeness issues Support data standardisation and annotation workflows Act as the bridge between: External data providers Internal data/ML teams Support data sourcing and acquisition Support the CSO and other senior leaders to identify and secure access to datasets from: Hospitals and healthcare providers ...

understanding industry trends like AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, confidentiality, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences."Nice To Have" Skills and Experience: Arm architecture fundamentals. Vector processing and parallel programming. Multimodal machine learning & Transformers, agentic AI.AI & Simulation Frameworks. Architecture performance analysis and optimisationLocations: This position offers the flexibility to be based in either Cambridge ...

conditions like back pain to the more than a billion people a year who currently miss out. Our team combines deep clinical, engineering and machine learning expertise, with a track record of healthtech innovation and backing from top-tier VCs and unicorn founder angels. Job description Job responsibilities … where the right treatment approach is well-established but undeliverable at scale. Were changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like ...

integrate PKS insights into study design, data interpretation, and project decision‐makingModels the use of Artificial intelligence (AI)/Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, and authoring regulatory documents. This role reports to a Therapeutic Area head within ...

conditions like back pain to the more than a billion people a year who currently miss out. Our team combines deep clinical, engineering and machine learning expertise, with a track record of healthtech innovation and backing from top-tier VCs and unicorn founder angels. Job description Job responsibilities … right treatment approach is well-established but undeliverable at scale. We're changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like: Working ...

systems connect advertisers to that audience at scale. What is the role? You'll join Praveen Krishnaiah's Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning … from idea through to serving at scale, working in Spark, Python, and Java. You'll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored).How will I use AI at Roku? At Roku, we don't just use AI, we work with ...

/ML Research Consultant | Cambridge | Defence & Security My client, a research and technology consultancy is looking for an AI/ML Research Consultant to join its growing team, working on challenging projects across AI, machine learning and emerging technology within the defence and security sector. This … role, covering everything from early-stage research and proof-of-concepts through to developing and deploying working prototypes. The role Researching emerging AI/ML techniques and generating new ideas Developing and training ML models for novel applications Rapid prototyping, experimentation and troubleshooting Designing experiments and analysing results Developing recommendations ...

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams … centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML ...

About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build … raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys ...

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 ...

candidate should possess: Degree in Computer Science, Information Systems, Engineering, or a related field. Equivalent practical experience is also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms … Work on cutting-edge AI products that shape the future of technology Collaborate with talented, passionate teams across research, engineering, and design Access continuous learning opportunities and career development pathways Make an Impact Transform AI research into products that solve real problems for clients and users Drive innovation ...

simulation software (e.g. Aspen Plus, HYSYS). Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients. Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction. WHAT NEUTREENO CAN OFFER YOU Compensation & Benefits: Competitive salary dependent on your skills, qualifications ...

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 ...

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 ...

training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build evaluation frameworks and define performance metrics • Develop and maintain data pipelines and training workflows • Analyse training pipelines and optimise for latency, cost and scalability • Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

Develop automation and monitoring tools using Bash, Python, or similar scripting languages. Manage and secure container images and related storage used for AI and ML workloads. Integrate storage systems with public cloud services (AWS, Azure, GCP) and hybrid environments. Troubleshoot complex storage and data flow issues, collaborating closely with ...

ready visualizations and narratives Ability to connect insights to business outcomes and influence strategy Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling Passion for fostering inclusive team environments and valuing diverse perspectives Clear communicator who can translate complex technical concepts into actionable business language ...

/Developer (Python Machine Learning AWS) Remote UK to £90k Are you a data savvy Backend Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on Backend Software Engineer role as part of a friendly and supportive ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value - agents that use tools, orchestrate multi-step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals - you write clear, tested, maintainable Python code that others can build on Fluency with ...

problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. Statistical analysis, machine learning, or complex systems experience. Previous mentoring or technical leadership experience. Why Apply? Work on genuinely challenging technical problems, shape innovative products, and collaborate ...

Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with ...

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 ...

level programming (e.g. C/C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management ...

grade solutions that unite strategy, data, and technology and foster a culture of excellence and innovation. Translate major technologies transforming life sciences—AI/ML, digital health, RWE platforms, data interoperability, next‐gen commercial architectures—into meaningful strategic implications for clients. Client Partnership, Trust & Growth Act as a trusted strategic ...