1 to 25 of 75 Remote Machine Learning Jobs in Bristol

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

making cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision. Role Overview As our Senior Machine Learning Researcher, you will play a key role in advancing our AI capabilities. You will keep pace with cutting-edge developments in the … AI and machine learning space, evaluating the latest research papers to identify what can be integrated into our product. Additionally, you will develop proprietary models and improved techniques as proof-of-concepts, pushing the boundaries of what's possible in our product. This role demands an advanced knowledge … of deep learning, latent diffusion, and the use of conditioning models, with a focus on practical application in the context of our product. Key Responsibilities Staying updated with recent advancements in machine learning and AI research, focusing on innovations relevant to image generation, rendering, and computer vision. More ❯

DOE + red-hot benefits Location: UK Flexible/Remote Contract type : Permanent Our Team We have an exciting opportunity for a Senior Specialist-Machine Learning in our Independent Model Validation team. The validation team holds a key role in the validation, challenge, and oversight of VMUK s … spanning retail and business asset classes and drive insight and improvements in model outputs and controls. With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our … we work with stakeholders across the bank to ensure robust model development activities. What you ll be doing Lead the validation of traditional and machine learning models to ensure models across the business are fit for purpose Providing artificial intelligence and data science expertise to inform the discussion More ❯

An exciting opportunity for a Machine Learning Engineer has arisen with a pioneering deep-tech startup at the forefront of sensor technology innovation, based in Bristol. This is a great opportunity for a Machine Learning Engineer to push the boundaries of silicon photonics and MEMS design. … hybrid working model, required onsite at least 3 days a week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus: Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative start-up environment, then please apply today to learn more. More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is a great … apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for security, robustness, and compliance. Document processes and … of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced More ❯

Staff AI/ML Engineer Location: Remote (UK) Employment Type: Full-time About the Company: A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual … storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI …/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather than More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver … support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly … visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

data science team as we scale. Key Responsibilities Design and implement data science solutions to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to … Mentor team members and contribute to building a data-driven culture Essential Requirements Technical Skills: Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on experience with AI productivity … tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science projects in a business environment Experience translating business requirements into technical solutions Strong More ❯

Data Science Manager - Gen/AI & ML Projects - Bristol Salary: Negotiable up to £90,000 Dependent on Experience Hybrid working - Bristol (2-3 days per week in the office) Ref No: J12952 Please note we can only accept applications from those with current UK working rights for this role, this … lead data science initiatives and drive innovation in the healthcare industry. You'll have the opportunity to leverage your expertise in advanced analytics and machine learning within a dynamic and forward-thinking team, to shape the future of healthcare. The successful applicant will work on exciting Gen/… ability to deliver value from data will be required. Responsibilities Lead a small team of Data Scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex business challenges within healthcare sector. Collaborate with cross-functional teams to identify business More ❯

healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale. You should consider this opportunity if the … entails over a job in a large corporation ✔️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the data science team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning More ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

Senior AI/ML Engineer United Kingdom - Fully Remote Day rate - up to £650 a day outside IR35 Duration - 3 months (High possibility for extention) A pioneering UK-based life sciences and healthcare technology company, is on a mission to revolutionize the clinical trial industry through innovative AI-driven solutions. … are focused on addressing critical challenges in patient identification, recruitment, and the effectiveness of therapeutics. Role Overview: They are seeking a Senior AI/ML Engineer with expertise in Large Language Models (LLMs), inference optimization, and clinical fine-tuning. This full-time hybrid position allows you to develop and deploy … learning models to ensure scalability, reliability, and efficiency in both cloud-based and on-premises deployments. Required Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

Documenting development processes and results. Analyzing application performance, providing insights and recommendations for improvements. Conducting research to stay updated with advancements in NLP and machine learning. Candidate Profile We are prioritising applications with backgrounds in Defence, Engineering, or Manufacturing. Relevant experience includes: Proven experience as a software engineer with … knowledge of large language model development. Practical experience implementing large language or machine learning models within an organisation. Strong programming skills in Python and familiarity with frameworks like TensorFlow or PyTorch. In-depth knowledge of NLP techniques, including tokenisation, embeddings, transformers, and attention mechanisms. Good statistical/data … skills, especially with large-scale data processing and distributed computing. Desirable qualifications include: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source NLP projects or publications in More ❯

to innovate semiconductor solutions Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and other languages (e.g., C++, Java) to build and prototype ML systems in Linux environments Shape the AI-powered product roadmap, adapting technologies from diverse fields to create new opportunities Drive complex AI and physics-driven … deliver market-ready products Manage project timelines and deliverables, ensuring alignment with strategic business goals Mentor and coach team members, fostering expertise in AI, ML, and physics within the Innovation Group Build strong customer partnerships, communicating technical benefits and supporting global projects with occasional international travel The Person/Qualifications … Advanced proficiency in Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing Exceptional communication and leadership skills to mentor teams and engage diverse More ❯

biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What … ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines … classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Teammates’ benefits : Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Teammate recognition scheme Loyalty award scheme 24/7 access to EAP More ❯

having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled … secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft More ❯

of three engineers and collaborating with the data science and application teams. In this role, you will help build and improve the data and machine learning infrastructure supporting our R&D and production platforms of high-impact tools and products for global climate law and policy, already serving … processing Experience in at least one area of data science we work on: knowledge graphs, information retrieval, text classification, generative AI Experience working with machine learning models in production systems Experience using and maintaining cloud infrastructure Experience with DevOps/infrastructure/SRE, tools used for automation, CI More ❯

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead … implementation for our initiatives. What will you do: Lead the recruitment, motivation, and management of highly technical teams focused on delivering online security and machine learning products at scale. Act as a liaison between product, engineering, customers, and sales to articulate and translate both complex business requirements and … and are committed to creating an inclusive environment for all members of our team. Join us as we transform cyber security, user privacy, and machine learning online More ❯

to plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the More ❯

biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What … ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure... More ❯