1 to 25 of 62 Machine Learning Jobs in Bristol

a diverse and fast-growing team, developing your skills on a variety of innovative projects. We're looking for someone with a strong interest in Machine Learning (ML), Large Language Models (LLMs), and Artificial Intelligence (AI) more broadly to join our ML team. You don’t need to know everything from day one, but curiosity, a willingness to … prove yourself. There is significant scope to adapt the exact role to your skills and interests, but in the first instance you will spend time developing, evaluating and improving ML models to detect and classify items within footage from video, thermal, and other sensors, under the supervision and guidance of senior engineers. You’ll also be involved in deploying new … ML-based services into production environments. You’ll gain experience of a range of relevant technologies such as: Python for data science and ML Computer Vision, including OpenCV Model training, evaluation – accuracy, precision, recall, F1, dataset management Object detection, image classification, segmentation, depth estimation, anomaly detection Docker/containerisation. Personal Qualities and Experience You are someone who enjoys learning More ❯

their successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities … Bootcamp. Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to develop learners from intermediate to more More ❯

JOB SUMMARY Iambic Therapeutics is seeking a machine learning scientist to extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. … biological mechanisms and validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD … or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. More ❯

Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models into the live pricing environment. The ML … Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. Ensure the platform supports offline analytics, ML models, lookup tables … Manage the integration of the platform with RADAR and other systems. Ensure Code is production ready and follow the SDLC best practices. What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker More ❯

applyingadvanced software engineering skills to build technologies that support our drugdiscovery efforts. Your key responsibilities include development of training data workflows for the training of machine-learning (ML) models and scalable deployment of machine-learning technologies, and creation, testing and maintenance of software systems.This role is remote, with preference for candidates on the US East Coast … or in the UK. KEY RESPONSIBILITIES Work in a cross-functional team that spans the full domain of drug discovery. Provide software development support to the ML model life cycle, working in the design and development of: Efficient and maintainable data pipelines Benchmarking systems of models Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers) Collaborate … and maintenance of software systems Code review for pull requests in adjoining areas Maintenance of and mentorship in software best practices, including version control, testing and documentation Collaboration with ML scientists and others in the company to understand requirements for deployed models Clear oral communication of work in meetings and company demos, at a level suited to the audience QUALIFICATIONS More ❯

SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the … Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions. Conduct load, end-to-end, and performance testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for … source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for a … Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid … and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine More ❯

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯

JOB SUMMARY Iambic Therapeutics is hiring a Machine Learning Scientist II or Senior to add clinically relevant imaging to our Enchant platform. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision making. This position is remote, with a preference for candidates in … code, documentation, and internal presentations; mentor colleagues in vision and multimodal ML. REQUIRED QUALIFICATIONS PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, Machine Learning, Biomedical Engineering, or related field. Solid experience with deep learning for images, including self supervised pre training, Vision Transformers, or vector quantization methods. Hands on work … ability to work in cross disciplinary teams. PREFERRED QUALIFICATIONS Familiarity with multimodal transformers. Experience aligning image embeddings with molecular or clinical endpoints. Contributions to open source computer vision or ML projects. ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and More ❯

opportunity to join our Security Lab as an AI Security Research Engineer . The role will be focused on AI security in edge architectures. More specifically combining knowledge of ML and system security to robustly protect models and data and AI applications on client devices. You will be contributing to HP's security research, providing analysis of use cases and … future products and services. You will be working closely with other AI security researchers, and with security technologists across HP. The ideal candidate would have a solid background in machine learning, knowledge of computer security, with a good technical understanding of system software. This position requires a strong engineer w ho can communicate concepts, architecture and design clearly … that iterates and evolves rapidly Job Requirementsfor the AI Security Research Engineer Experience in, or knowledge of, machine learning solution architectures including Large Language Models (LLMs) Strong ML and software engineering skills Knowledge or interest in computer security An ability to convey technical knowledge to both technical experts and non-technical teams alike The following skills and attributes More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Developing real-time data processing systems Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … the team in meeting ad hoc requests for customer insights from the rest of the business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

core , our team is on the lookout for you! You will be part of a fast-paced team developing next generation GPU shader and machine learning (ML) core. You will work with engineers of varied disciplines who are responsible for designing, verifying and delivering Core IP for various products. Since core is the "most prominent" asset in … power and performance targets. No idea is too small; we welcome every initiative that makes our product better. You will be working on the overall Architecture of Shader/ML core. You will be the key point of contact for leaders of various functional organizations. You will work closely with S/W architect, Power & Performance Architecture to define changes … in ISA (instruction set architecture), feature sets for next gen GPU and ML Accelerator products. You will work with micro-architecture leads and physical design leads to strive for best in class PPA. You will review design, and verification plans and will be guide for the implementation teams. THE PERSON: You are an "out of the box" thinker, open to More ❯

diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Following a successful … supports a life-saving platform. Youll 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, youll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean More ❯

We’re working with a 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 you’ll be doing: Following … a life-saving platform. You’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 and actionable data. That might More ❯

AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval More ❯

build smart, and stay ahead of the curve. We use a Monorepo to build the entire stack, from the RTL written in SystemVerilog to the state of the art machine learning models in Python and everything in between including C, C+, Rust and Ruby. We compile our tools for both macOS (arm64) and Linux (x86, arm64) and we … itself, making sure it scales are we grow our company, - Add new features such as remote execution, shared caches, hermetic system dependencies. - Scale the CI resources from a single machine per architecture to a managed cluster for compute resources, - Debug and optimise build rules for existing technologies, - Extend support for new languages and technologies, - Contribute to upstream Bazel rules … Scripting and automation skills in Python A degree in Computer Science, Engineering, or a related field (or equivalent experience Additional skills that are nice to have: Experience working with machine learning pipelines or large language models Knowledge of GitHub Actions, and modern cloud services Knowledge of build systems for complex, multi-language projects Strong background in containerisation and More ❯

days. Be ready to lead on ad-hoc queries, projects and presentations when requested by the leadership team. Be curious about the latest tooling and trends in data analytics, machine learning and GenAI to inform strategy, and to drive knowledge and experimentation into the teams Embrace and promote a culture of data-driven decision making in the lab. … and plain English communication, tailored to meet the needs and interest of the audience. Ability to think creatively and challenge direction. Data Literacy - Knowledge of data management, data analytics, machine learning, and emerging technologies. Familiarity with platforms like Google Cloud Platform (GCP). Ability to communicate with data confidently and effectively, exploring the implication of data and providing More ❯

leading software house in Bristol. The role will not only have responsibility for designing, building & optimising data driven solutions, but will also be part of the team incorporating AI & Machine Learning into the product suite. It would suit a SQL Developer with an in-depth knowledge of SQL databases and a broad understand across data, including storage, access … database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a hybrid working policy and you would normally need to be in the office a couple of days a week. … Some of the other benefits of the role include: Bonus scheme - up to 10% Ongoing learning and development Flexible work patterns Death in service (4x salary) Private healthcare 26 days holiday (plus banks) Holiday trading (buy/sell up to 3 extra days) Regular social events More ❯

leading software house in Bristol. The role will not only have responsibility for designing, building & optimising data driven solutions, but will also be part of the team incorporating AI & Machine Learning into the product suite. It would suit a SQL Developer with an in-depth knowledge of SQL databases and a broad understand across data, including storage, access … database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a hybrid working policy and you would normally need to be in the office a couple of days a week. … Some of the other benefits of the role include: Bonus scheme - up to 10% Ongoing learning and development Flexible work patterns Death in service (4x salary) Private healthcare 26 days holiday (plus banks) Holiday trading (buy/sell up to 3 extra days) Regular social events More ❯

leading software house in Bristol. The role will not only have responsibility for designing, building & optimising data driven solutions, but will also be part of the team incorporating AI & Machine Learning into the product suite. It would suit a SQL Developer with an in-depth knowledge of SQL databases and a broad understand across data, including storage, access … database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a hybrid working policy and you would normally need to be in the office a couple of days a week. … Some of the other benefits of the role include: Bonus scheme - up to 10% Ongoing learning and development Flexible work patterns Death in service (4x salary) Private healthcare 26 days holiday (plus banks) Holiday trading (buy/sell up to 3 extra days) Regular social events More ❯

days. Be ready to lead on ad-hoc queries, projects and presentations when requested by the leadership team. Be curious about the latest tooling and trends in data analytics, machine learning and GenAI to inform strategy, and to drive knowledge and experimentation into the teams Embrace and promote a culture of data-driven decision making in the lab. … and plain English communication, tailored to meet the needs and interest of the audience. Ability to think creatively and challenge direction. Data Literacy - Knowledge of data management, data analytics, machine learning, and emerging technologies. Familiarity with platforms like Google Cloud Platform (GCP). Ability to communicate with data confidently and effectively, exploring the implication of data and providing More ❯

individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products Skill and Experience; Algorithm development Identification, Planning and Running of investigations to inform systems design Data analysis Desirable Experience; Modelling and coding … significant experience of MATLAB and ideally Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Company Benefits; Bonus : Up to 2,500 (based on performance). Pension : Up to 14% total contribution. Parental Leave : Enhanced parental, maternity, and shared parental More ❯

individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products Skill and Experience; Algorithm development Identification, Planning and Running of investigations to inform systems design Data analysis Desirable Experience; Modelling and coding … significant experience of MATLAB and ideally Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Company Benefits; Bonus : Up to £2,500 (based on performance). Pension : Up to 14% total contribution. Parental Leave : Enhanced parental, maternity, and shared parental More ❯

Evaluate, assess and consult on AI capabilities. Machine Learning, LLMs, LangChain etc. Bristol 1-2 days per week, unlimited holidays. AI Consultant needed to join a top software consultancy connecting companies with top class development teams building outstanding, scalable products. They are looking for someone with a development background and a strong grounding in AI technologies for a … or backend including Python). Hands-on experience with AI tools (e.g. building GPT-based apps, using LangChain or integrating APIs). A passion for AI, with experience in Machine Learning & LLMs. Strong systems thinking and automation mindset. Track record building small tools, scripts, or data products that improve ops. Experience working in or with digital agencies, consultancies … Consultant they will look to you to identify and onboard AI-mature agencies to their partner network. You will be a strategic thinker optimising processes and assessing AI/ML technical capability by reviewing code samples, solutions and pipelines. In addition theres a need to build and deploy internal AI automations, evolve their AI Maturity Model (which rates/tracks More ❯