26 to 50 of 102 Machine Learning Jobs in the South West

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 ❯

etc) along with a functional and attractive UI. The company operate in the electronics R&D space, so any background with engineering, hardware, communications, GIS/Geospatial, Ai or machine learning is particularly useful. ROLE: Full-stack Software Engineer LOCATION: Cheltenham (mostly on-site) SALARY: up to £85k +share options START: ASAP Skills for the Full-stack Software … and privacy for cloud or on-premises Experience developing a system OS UI design Beneficial skills are: GIS/Geospatial systems Engineering (electronics, hardware, comms) background Some Ai/Machine learning exposure If you're interested in the role, please apply below or get in touch directly with any questions Cheers, Nathan 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 ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

As an AI Software Engineer Apprentice, you’ll deliver real-world AI and ML solutions working with data pipelines, models, APIs, and microservices while advancing toward a fully funded Level 6 degree. This role is rooted in the Digital and Technology Solutions standard, blending a common core with the Software Engineer specialism. Role Location: Hybrid (UK-based) Hours: Monday – Friday … for training and evaluation. Support the design, development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Experimentation & Evaluation Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support … Write clear, well-organized documentation for code, models, datasets, and project workflows. Participate in team meetings, sprint planning, and code reviews. Engage with mentors to reflect on progress, set learning goals, and track outcomes. Training Training & Assessment The Level 6 Digital and technology solutions professional apprenticeship includes formal training aligned to Digital and Technology Solutions Degree. If Functional Skills More ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage More ❯

team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable … be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants. Manage multiple projects at the same time Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself. Apply the right … engagement with the digital transformation strategy. Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners. Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage More ❯

timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We're on … Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies- e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be More ❯

timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We're on … Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies- e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be More ❯

Senior Software Engineer with LLM, Agentive AI and ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of B2B technology this senior Software Engineer will play a key role in building and implementing AI software solutions into the existing product portfolio creating market leading functionality for their international client base. This role … would suit a software engineer with a broad range of technologies (ideally with an understanding of ML/AI) who is looking for a clear progression pathway and the autonomy to deliver a best in class, market leading solution that will drive huge business growth. In return this Senior Software Engineer can expect excellent career development and training opportunities within … Senior Software Engineer should have most of the following key skills: - Solid commercial experience working within a complex, product led environment - Experience working with LLM's, agentive AI or ML technologies to build AI functionality into existing solutions - Strong Test driven development skills with the ability to write unit tests - Full stack JavaScript skills - node.js, JavaScript, angular etc - Third party More ❯

Data development using Synapse, Azure Data Factory, and ADX. Other services require a good working knowledge of Databricks, Logic Apps, and the Power Platform knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks knowledge of advanced statistical techniques and concepts (regression, properties of … all components (functional and non-functional) to verify that the solution satisfies specified requirements and to detect errors excellent academic qualifications, ideally an MSc in Data Science, AI/ML, Computer Science, Mathematics, or a similar field; BSc or equivalent experience may be considered. What you'll receive A combined pension contribution of up to 20%. Career progression and More ❯

value: • Cloud platform deployment on AWS or Azure • Containerisation using Docker or Kubernetes • Experience with Ansible or other configuration management tools • Exposure to machine learning platforms (Azure ML, TensorFlow, Amazon SageMaker) • Working with relational or NoSQL databases (document, graph, or RDBMS) Platform Engineer - Key Benefits: • Clear career progression within the National Security & Gov space • Flexible hybrid working & generous More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

the engineering solution. Skills, knowledge and expertise We seek candidates with a range of skills and experience; please apply even if you don't meet all criteria. Enthusiasm for learning and self-development Proficiency in Git (including Github Actions) and understanding of branch strategies Experience gathering and meeting requirements from clients and users on data projects Strong experience in … Docker and virtual environments in CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in More ❯

survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts More ❯

controller integration. Desirable Experience: Working with depth cameras, 3D point cloud data, and sensor fusion techniques (e.g. Kalman filters). Experience with Nvidia Jetson, Raspberry Pi, and embedded systems. Machine learning for object detection (YOLOv5) and CUDA optimisation. Strong communication and stakeholder engagement skills. Azure DevOps and YAML pipeline scripting. More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯