12 of 12 Remote Machine Learning Jobs in Bristol

What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯

the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver … fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record … in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong More ❯

Desirable (but not required) Skills Familiarity with drone software stacks (e.g. ArduPilot, PX4). Experience with telemetry protocols like MAVLink. Awareness of cybersecurity practices in distributed systems. Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). … future product lines. Hands-on collaboration with experts across aerospace, robotics, AI, and creative industries. Access to live flight testing, simulators, and advanced development tools. A supportive culture of learning, experimentation, and professional growth, with opportunities for mentorship and career progression. Job Types: Full-time, Permanent Pay: £35,000.00 per year Benefits: Company pension Free parking On-site parking More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. What we're looking for: 4+ years' experience building enterprise-grade applications. More ❯

this area within the team! What are we looking for? B2B SaaS Product Management experience, ideally in Fintech or other highly-regulated industries e.g Healthcare Experience with data science, machine learning, or LLM-based teams – (ideally early-stage discovery work) Strong road mapping and prioritisation skills, with a track record of shipping products using Agile Data-driven mindset More ❯

knowledge such as Flight Dynamics, Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics Algorithms knowledge such as Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine Learning Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design Experience of algorithm research and/ More ❯

happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

ROLE IS MIDNIGHT ON 5TH JANUARY 2026 (SUBJECT TO APPLICATION VOLUMES) What we can offer you 1 year placement: starting September 2026, that allows you to apply your university learning to real-world projects and technologies Company bonus : based on company performance and will vary year to year Pension : maximum total (employer and employee) contribution of up to … include: Routing algorithms for long-range strike weapons Operator decision aids for strike mission planning Threat evaluation & weapon assignment algorithms for air defence Multi-weapon co-operation Application of machine learning techniques to air-to-air combat We make a difference - the capabilities we deliver give our armed forces an operational advantage. Within the team, we provide opportunities More ❯

ROLE IS MIDNIGHT ON 5TH JANUARY 2026 (SUBJECT TO APPLICATION VOLUMES) What we can offer you 1 year placement: starting September 2026, that allows you to apply your university learning to real-world projects and technologies Company bonus : based on company performance and will vary year to year Pension : maximum total (employer and employee) contribution of up to … include: Routing algorithms for long-range strike weapons Operator decision aids for strike mission planning Threat evaluation & weapon assignment algorithms for air defence Multi-weapon co-operation Application of machine learning techniques to air-to-air combat We make a difference - the capabilities we deliver give our armed forces an operational advantage. Within the team, we provide opportunities More ❯

models in Simulink Formal software or firmware development experience Knowledge of RF systems and digital signal processing Model verification, configuration control and model release processes Continuous Integration and Testing Machine Learning and AI Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are More ❯

Ubuntu System Administrator experience including patch management, monitoring e.g. SCOM, mitigating security vulnerabilities Secure by Design principles Design and implementation of CI/CD pipelines, with embedded DevSecOps practices Machine learning models for object detection/optical character recognition IT Networking In addition, experience with MS Office applications such as Word, Excel, Project etc is essential. If you More ❯

Data, Cloud, and AI programmes. Responsibilities Partner with customers to understand needs and translate them into delivery roadmaps. Lead Agile teams on Cloud-native, Data-driven and AI/ML projects. Run proof-of-concepts, proof-of-value, and experimental projects through to delivery. Manage dependencies, risks, and challenges to ensure smooth delivery. Champion continuous improvement and drive optimisation of … technical audiences. Strong interpersonal and communication skills. Based near London or Bristol with flexibility to attend client sites. Experience working in Digital Consultancies or transformation projects. Exposure to AI, ML, or analytics-based project delivery. Microsoft technology exposure, particularly Azure, in project environments. To apply for this Technical Project Manager permanent job, please click the button below and submit your More ❯