1 to 25 of 37 Machine Learning Jobs in the South West with Remote Work Options

a-day, 365-day-a-year mission. For this reason, it partners with this Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting … edge Data Science and Machine Learning techniques alongside Digital Transformation to solve complex problems through AI and Data. The Role: Working closely with senior data scientists, the Consultant's responsibilities span the entire data science lifecycle, from Proof of Concept to fully tested production solutions. Additional duties include … Looking for experience in some of the following: • British Passport Holder with active DV (Developed Vetting Clearance) • Hands-on experience applying data science/machine learning in Defence/Security, public sector, or academia. • Understanding various machine learning models: Transformers, CNNs, regression, vector embeddings. • Ability to more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can … Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these … Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit more »

and the wider team. You will be engaging senior stakeholders, planning and leading multiple projects relating to the ongoing development, maintenance and monitoring of machine learning models for Climate Change and Financial Crime. The role will require deep understanding of different machine learning techniques, and capability … relevant statistical techniques and adhering to current modelling standards and validation regulation. You will also support the wider Retail Financial Risk Modelling to embed machine learning into models. You’ll need to plan effectively and prioritise activities, to ensure your team are working on several business-critical activities … engage and communicate with the wider business on developments/enhancements and how they will impact business decisions. Coach and develop your team in machine learning modelling. About you To be successful in this role you will: Have experience in delivering innovative and creative data science/advanced more »

this role, you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently … candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have stakeholder management experience and … their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently present complex subjects more »

in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as a service. It’s not for everyone. Because of our speed and growth, it … on a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production … with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow What we offer: A competitive salary Full-time employment subject to a probation period. An office location in Bristol more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »

data transformation, without the need for the crutch of Cloud Platforms at all times… Develop, enhance, and manage intricate data ingestion pipelines. Integrate advanced machine learning elements into data pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in … and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. … data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

risk model, ensuring its accuracy, performance, and scalability. Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaborate with underwriters, engineers, and cyber risk analysts … and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark more »

in 6%), 4% flexible cash allowance, private medical insurance, 30 days holiday plus bank holidays. Where does the role sit? We're the Data & Machine Learning Platforms within Lloyds Banking Group! We support all areas of the bank, so products you work on could apply to any area … achieved using data and an appreciation of what benefits can be derived from data (essential). Broad knowledge of potential solutions utilising Data Science, Machine Learning, Artificial Intelligence or Business Intelligence. You'll need a solid grounding in more than one area. Advanced experience in Cloud Architecture, designing more »

are seeking to appoint a team to support lecturers and researchers working within our Computer Science department, including Artificial Intelligence (AI), Maths of AI, Machine Learning, Data Science, and their applications. These new posts will come with a range of experience and expertise, and we will seek to … advantageous. Experience of working with high-performance computing (HPC) environments and administering complex cloud-based infrastructures would be an advantage. Knowledge and experience of machine learning or artificial intelligence research pipelines, would also be an advantage, as would other experience enabling the candidates to contribute to research and more »

be a part of an environment that encourages innovation and continuous learning. What you’ll be doing: You will help build end-to-end machine learning solutions across the business that will be essential to the business' ability to serve our millions of daily customers in a competitive … Collaborate with business SMEs to understand challenges, needs and data requirements. Develop cutting-edge data platforms to facilitate the rapid delivery of market-leading machine learning solutions. Contribute to a team with a wealth of experience and make a significant impact across the organisation. What you'll need … a matched pension that can reach up to 14%, and substantial discounts on various products. Beyond these, they are firmly committed to the continuous learning and development, offering numerous opportunities to grow and enhance your skills through training courses/days. They deeply value work-life balance, which is more »

provide you with invaluable skills and the opportunity to work with some of the highest technologies there is? Then keep reading! Roles: Algorithm Specialist, Machine Learning Algorithm Developer, Senior Algorithm Specialist, Algorithm Development Lead, Algorithm Team Lead Location: Bristol - Hybrid (3-4 days on site) Salary: £45k-£65k … depending on experience + bonus! Core Skills: Matlab, Simulink, Python, Machine Learning, and ideally some leadership experience. You will also need to be eligible to obtain Security Clearance (British Passport and have resided in the UK for the past 5 years) With 5 vacancies in Algorithm, you have more »

testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks … Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging … skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. more »

including active team player and strong relationship building skills Operational analytics and process improvement experience Experience with predictive or descriptive analytics and working with machine learning teams Great communication skills and comfortable presenting and working C-level senior leadership on a regular basis Equal Opportunity/Affirmative Action more »

Engineering skills. Responsibilities : Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability. Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities. Devise and implement data quality metrics and dashboards for monitoring, ensuring … contributions of each member toward our shared objectives. Qualifications : - Experience : A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient more »

Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions more »

mindset for release purposes Desirable: Proven experience with Oracle ODI Familiarity with Snowflake Experience with collaboration tools i.e., Atlassian products (Jira, Confluence) Understanding of machine learning or data science Experience working on the cloud, preferably with AWS Practical understanding of AWS Code Family Reporting layer experience with OAS more »

practitioners. We invest in R&D heavily and our innovations team is dedicated to researching ways in which advanced technologies such as AI and machine learning can be deployed by companies solutions. This ensures that our technology continues to lead the way in efficiency, reliability and relevance. They more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

development, and QA, to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud more »

development, and QA, to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud more »

use in over 60 countries, the company's document review platform offers lawyers greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand legal language. The technology is used by law more »

use in over 60 countries, the company's document review platform offers lawyers greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand legal language. The technology is used by law more »