76 to 100 of 275 Machine Learning Jobs in the South West

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

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 collaboration Desirable: 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 deployment This 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 ...

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 ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

Engineer Location: Swindon Day rate: Up to £700p.d We're supporting a long-term client in hiring an actively SC cleared AI/ML engineer to support them in the delivery of a number of currently in flight programmes. The team delivers solutions for UK Gov & Defence customers, building applications … users. Their software applications interact with next-generation hardware, giving mission advantage in the sky and on land. They're looking for a ML engineer with experience building & deploying production-ready software and applications in Python, specifically leveraging and building LLM capabilities with technologies such as Langchain & Langgraph. Skills/ ...

engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology … products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities ...

powered customer experiences across Lloyds Banking Group. Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement. The successful candidate … part of the journey.What we’re looking for Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience working with conversational ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech , including clinical ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual … sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various ...

engineering teams can reuse.Help reduce one-off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows.Requirements: Essential - Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation.Hands-on experience with at least one major … Earn share option scheme.Optional Dental InsuranceMaternity, paternity, and shared parental leaveEmployee Assistance ProgrammeAccess to employee resource groups with dedicated time to volunteer.Access to extensive learning and development resourcesAccess to employee discounts scheme via Perks at WorkAbout the business- LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

translate complex technical concepts for diverse audiences.Experience producing clear project documentation, technical specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g. ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

business development, sales, or channel development in the technology industry. Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel ...

technical sales engineering or software engineering with cloud-native architectures. Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure. Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators. Preferred qualifications: Direct experience as a startup Founder, Co-Founder … community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML. Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications. Ability to communicate in English and French fluently to communicate in this customer-facing sales ...

Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital ...

This is a small, senior team developing the software foundations for iCOMAT’s design and manufacturing capability.The current team brings experience across engineering software, machine learning and production-grade software delivery. We work closely with iCOMAT’s structures, robotics and manufacturing engineers to understand the problems that matter ...

changing business needs of our clients.Enjoy working within diverse and hybrid-located teams.Professional working proficiency in the English language.Preferred: Experience with Generative AI or machine learning applications in a supply chain context, and familiarity with cloud platforms (e.g., AWS, Azure, GCP).Please note as our clients include those ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications: Experience … Generative AI. Experience with data structures and algorithms. Knowledge of Python programming. Responsibilities: Help scaling data optimization techniques improving the performance and quality of ML models. Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques. ...

digiLab in the United Kingdom is seeking a Senior Software Engineer (Machine Learning) to advance the Uncertainty Engine, collaborating across product, ML research, and cloud-backed services. You will own backend APIs, integrate ML libraries, and drive software quality from design to production, using Python, FastAPI, Docker ...

qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly Strong … senior leadership team - you will have visibility and influence that is impossible at larger organisations A funded apprenticeship with structured learning and professional development The chance to work across multiple brands and markets, gaining breadth of experience A genuine say in how AI is adopted and implemented across ...