21 of 21 Machine Learning Jobs in Cambridge

title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world … solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt ...

frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands … contemporary models are trained and executed, and who has hands‐on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry‐standard frameworks and state‐of‐the‐art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams ...

Summary Applicants for this role should possess prior experience in software development, as the primary focus will involve testing a Machine Learning (ML) software development stack. The position requires a strong interest in reliability and performance testing, as well as a genuine passion for debugging and problem-solving. … opportunity is particularly well‐suited for an experienced software engineers seeking to gain hands‐on exposure to the exciting fields of Artificial Intelligence (AI), ML, and AI accelerator hardware. The Team The Software QA team is composed of highly skilled and dedicated software engineers with a strong passion for automation ...

developing data-efficient machine learning solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly … publishes at top-tier machine learning conferences and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research ...

research, design and deploy cutting-edge machine learning systems. Projects span early-stage research through to working prototypes, covering the full ML lifecycle - from data preparation and rapid prototyping to model development, evaluation and deployment. This is a hands-on role for someone who enjoys tackling novel, technically … challenging problems and applying ML in real-world or constrained environments. About You Degree (2:1 or above) in Computer Science, Engineering, Physics, Maths or similar Strong Python skills Experience with ML frameworks such as PyTorch, TensorFlow and/or JAX Exposure to applying ML in novel domains or resource ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

languages such as Python, Java, Go or Rust; experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). Familiarity with AI/ML inference frameworks, vector databases and data streaming systems. Strong problem‐solving skills, ability to mentor peers and thrive in a dynamic startup environment. ...

negotiable Evolve Data Engineering from operational processing to strategic enablement of decision-making AI Enablement and Team Leadership Build the foundations for AI/ML at scale - feature stores, model repositories, deployment frameworks and ML Ops governance Support productionisation of AI and machine learning initiatives across the business … modern data engineering (ETL/ELT, pipelines, real-time streaming) Strong DataOps expertise (monitoring, quality metrics, remediation across source systems) Experience productionising AI/ML solutions at scale Platform and architecture strategy experience (cloud or hybrid environments) Governance, security and compliance leadership Experience in real-time systems (anti-cheat, fraud ...

technology innovator in AI is looking for an experienced software engineer to join their team focusing on machine learning software testing. The ideal candidate should have over … years of experience in production quality software development, strong skills in Python and C++, and proficiency with Linux. They will be responsible for creating ML workloads, building CI/CD pipelines, and working closely with software development teams. The company offers a competitive salary, flexible working, and comprehensive benefits. #J ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

Proven experience in a product leadership role, managing a high performing team Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions or marketplaces Experience with the following: Championing a product vision and being accountable for its success. Structuring work ...

tools for backlog management, sprint planning, and cross‐functional coordination. Nice to Have Experience with Sensor Fusion, IMUs, or custom hardware peripherals. Knowledge of machine‐learning‐based gesture recognition or kinematic modelling. Background in robotics, haptics, biomechanics, or real‐time simulation. What We Offer The opportunity to shape ...

software development experience in languages such as C/C++, PythonIdeally, domain experience with embedded systems, application software, IoT/Cloud stacks, AI/ML or cybersecurity – you don’t need all of these!!What Next If you’re a software architect or senior engineer who thrives on shaping robust ...

Senior Principal System Architect - Principal Consultant | Software Engineering, AI & CV/ML, Semiconductors & Electronics European Tech Recruit is working closely with a multinational semiconductor company based in Cambridge, looking for a talented Senior Principal System Architect to join their team. In this role you will tackle challenging development work ...

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 Solving ...

lead the architecture and engineering of scalable data platforms. This strategic role involves transforming operational data into reliable products and ensuring AI/ML enablement across the organization. The ideal candidate will have extensive experience in data engineering and strong leadership qualities. Join us in shaping the future of online ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

evaluations, pilot programmes, testing and performance assessment Ensuring responsible-AI practices, human-in-the-loop processes and legal-risk considerations Communicating complex AI/ML concepts in simple, accessible language Continuously improving user journeys and workflow design across AI tools Benefits 25 days holiday + Bank Holidays Long-service holiday … tools) Proficiency with tools such as Jira, Lucidchart, BPM tools Excellent communication and stakeholder-engagement skills Ability to simplify and communicate complex AI/ML concepts Experience facilitating workshops and working closely with clients Confidence supporting Scrum ceremonies and Agile delivery processes A proactive, product-focused mindset with strong problem ...

leading AI compute company in Cambridge is seeking an experienced ML Engineer to focus on benchmarking and validating a complex ML software stack. The role requires strong ML expertise, hands-on experience with frameworks like PyTorch and TensorFlow, and proficiency in Python. Collaboration with software and hardware teams ...

site troubleshooting of imaging issues Identify and resolve problems caused by glare, shadows, reflections, vibration, or environmental factors Work closely with AI and ML teams to diagnose image-related performance issues Define and maintain version-controlled 'known good' camera configurations Produce clear site documentation including diagrams, photos, and configuration notes … includes: Exposure to computer vision or AI-powered imaging systems Familiarity with AVI, ANPR, or vehicle inspection environments Understanding of how image quality impacts ML model performance Experience with platforms such as Basler, Hikvision, or Axis Basic networking knowledge including IP cameras, PoE, and switches What ...