26 to 50 of 169 Machine Learning Jobs in the South West

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything our users see online ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything our users see online ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running in live deployments. Because of the nature of our work … embedded software in C and C++ for microelectronics, sensors, and other subsystems. Implement and optimize communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems ...

Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s): Cheltenham or London Type : 4 days on-site, 1 day at home Salary: £54,000 - £64,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must be a sole British National Sanderson Government & Defence ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Description This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning … specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through click apply for full job details ...

Surveillance Camera, Radio communication and other complex sensor solutions into our maritime domain awareness solutions Work to scope, refine and deliver data science and machine learning solutions using maritime tracking, video and other relevant data sets Develop your understanding of third-party sensor systems capabilities, interfaces and system … beneficial, but not essential for this role Product ownership experience, across networked systems, sensing technology, radio communication technology Experience working with data science and machine learning teams, ideally in surveillance, video analytics or intelligence settings You can demonstrate a good understanding of best practice in Agile software delivery ...

months in duration and is delivered via a virtual delivery model combining: Instructor led live workshops (28 days) Interactive labs and self-paced learning On completion of the programme, you will have the opportunity to achieve the Microsoft Certified: Azure AI Engineer Associate (AI -102) in addition … IfATE L6AIE qualification. Apprenticeship Standard Machine learning engineer (level 6) Training Provider QA LIMITED Working Week Flexible workday. Monday - Friday, 37 hours a week. Expected Duration 2 Years Positions Available 1 Closing Date Wednesday, 17th February 2027 Start Date Monday, 6th September 2027 Desired Skills IT skills Attention ...

technology company in Cheltenham is looking for a Machine Learning Implementation Engineer to enhance AI models into production-ready software. You will be responsible for maturing complex algorithms, integrating them into larger systems, and ensuring they are robust and scalable. The ideal candidate should possess deep expertise … machine learning and proven experience in deploying models into live environments, along with the ability to work in a positive, inclusive culture. DV Clearance is required for this role. #J-18808-Ljbffr ...

licenses and 160+ countries. Cutting edge tech: Youll be developing state of the art systems to prevent and detect crime in real time, spanning machine learning, LLMs and anything else your team feels is needed to tackle the problem. Product led company: Our client lives and breathes empowerment. … empathy skills to build in a way that will make these customers love our client. You have direct and extensive experience in building machine learning, LLM or other advanced algorithmic or data heavy products. Bonus points if this was in anti-money laundering, fraud, fincrime, trust and safety ...

exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models … Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models ...

exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models … Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models ...

exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models … Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models ...

collaborateacross teams to support shared goals and continuous improvement. In addition to training delivery, you’ll play akey role in shaping the future of learning by contributing insights to thedesign and development of cutting-edge courses. With strong technical expertisein GenAI, machine learning, Python, and the NumPy … Knowledge & Experience Desirable hands-on experience with leading AIframeworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP,Azure) Experience working with AI/ML engineers, datascientists, and other data professionals Wider Requirements Passion for education, technology, andempowering others through knowledge sharing Qualifications: Desirable degree in Mathematics or related field ...

organisation, providing insight into how we operate and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred learning style. From day one, access to mentors and subject matter experts will help you settle into … every step of the way, as you become an integral part of our innovative team. We’ll provide the space and resources for continuous learning and improvement, with up to 30% of your time dedicated to personal development, giving you the freedom to explore new technologies, build professional skills ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands‐on contributor, working closely with experienced engineers to build reliable, high‐performance systems across devices, cloud platforms, and applied ML, contributing to real‐world, field‐deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

managing direct reports, providing regular guidance and performance feedback* Ability to create delivery plans with estimated timelines for personal and team workloads* Experience supporting ML model deployment and DevOps collaborationDesirable: * Degree in STEM, Data, AI, or Programming-related field* Awareness of data security best practices* Experience with designing data architecture … Experience with scaling infrastructure and code, (e.g. Kubernetes)* Exposure to Ansible and Terraform* Understanding of ML algorithms and deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich ...

data security‐by‐design, privacy, compliance and governance aligned to government and industry standards. Familiarity with contemporary analytical and digital services (e.g., AI/ML, BI, automation). Appreciation of emerging technologies such as IoT data processing, edge analytics and automation where appropriate. Industry Experience Experience working within Local Government ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you'll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you'll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...