1 to 25 of 87 Machine Learning Jobs in the South West

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and … engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data … science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing More ❯

Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯

One of Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing … valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of Machine Learning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of … Machine Learning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the Machine Learning Engineer role by clicking on the link and uploading either your CV or an Executive Bio. More ❯

from start to finish. About the role We are developing several products and features under the banner of "Analysis" as part of the Origin ecosystem, which include: • Kaleidoscope: A machine-learning tool to make early-stage design analysis much faster than traditional … methods • SAM (Sustainability Analytical Model): A toolset for rapidly creating simulation models and outputs We are seeking a Product Lead for Analysis and AI with a broad background in ML, AI, simulation, analysis, data science and research. Bringing your experience with computation and machine learning in the field of architecture, engineering or construction, as well as digital product … and confidence. Agile product management/being part of a development team that adheres to Agile principles. Working knowledge/direct experience with Python or similar. Testing and evaluating ML/software solutions. How to apply To apply simply complete a CV profile and submit your application. If shortlisted, one of our recruitment team will be in touch to arrange More ❯

to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to … Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience … in one or more of: distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects 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 ❯

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 ❯

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … . Strong Pluses Degree in Computer Science or similar technical discipline (helpful, not required). Hands-on experience with Azure cloud services or Power BI. Exposure to AI/machine-learning/GenAI product development. Experience with Azure DevOps, JIRA, Confluence, or similar tools. Why Join Us At Ascent, we help clients connect data, software, and purpose to 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 ❯

centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will You Be Doing? As a Data … Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management to drive successful project execution Apply practical data science skills through hands-on development … Looking For? We are seeking individuals with experience in one or more of the following areas: Building and designing scalable data platforms Data visualisation and techniques for data extraction Machine learning and advanced data analytics Proficiency in programming languages such as Python, Java, or C++ DevOps techniques and cloud technologies Agile methodologies and team leadership Strong stakeholder and 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 ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages 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 ❯

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 ❯

automation to solve complex industry challenges. What you'll be doing This is a hands-on engineering role with strategic potential. You'll work on cutting-edge AI/ML solutions and help the business realise tangible, data-driven outcomes. You'll: Design, build and deploy AI and automation tools across the business Partner with architecture teams to embed AI … in core services Develop data mining techniques for structured and unstructured data Drive innovation and identify emerging use cases for AI/ML Translate technical concepts for stakeholders across varying levels of digital maturity Champion ethical AI practices and ensure responsible development You'll also play a key role in major transformation projects, shaping the way AI supports operations across … we're looking for We'd love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. 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: Coming … supports 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. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might More ❯