1 to 23 of 23 Machine Learning Jobs in Bristol with Remote Work Options

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 »

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 »

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 »

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 »

Senior ML/Data Engineer: Fully Remote. £65,000-£80,000 An environmental services organization based in the UK is seeking a Senior Data Engineer to join their performance team to help promote their journey of biodiversity and restoring natural habitats. They use advanced AI/ML technology to help … GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days annual leave. more »

Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … geospatial machine learning models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model … and implementation of scalable data processing pipelines for geospatial data ingestion, processing & storage. Stay up to date with the latest advancements in geospatial analytics, machine learning & data science techniques, and incorporate them into existing workflows. Mentor & provide guidance to less experienced team members, developing a collaborative environment. Communicate more »

Skills required: 3 + years exp with .NET 1+ years exp with Blazor (including UI/UX desirable) Previous experience with Testing Experience with ML/AI desirable Experience with SQL Experience with AZURE/AWS (CI/CD pipelines etc) For the full job description and company details please 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 »

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 »

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 »

and some of the followng: Experience with linux development, especially linux kernel. Experience with NXP, Qcom, Renesas chipsets Experience with video, computer vision, or machine learning applications. Experience with Yocto. Experience with algorithm development - especially in computer vision. Great opportunity for a Senior Embedded Software Engineer to to more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information more »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information 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 »

communication skills and youre hungry to learn new things Youre able to work independently but know when to ask for help Youre interested in Machine Learning and Artificial Intelligence and would like to work with these concepts Location Were looking for someone to join us in our new 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 »

will have solid embedded skills and some of the following experience: Linux development, especially linux kernel. NXP, Qcom, Renesas chipsets video, computer vision, or machine learning applications. Experience with Yocto. Algorithm development - especially in computer vision.Super opportunity a Senior Embedded Software Engineer to to be part of a more »

people from a variety of backgrounds, but your experience may include some of the following: Extensive experience or knowledge of LLVM/MLIR and ML Compilers Advanced C++ programming skills Proven managerial experience Understanding of Toolchain developmentIf you’re an AI Compiler Manager looking for an exciting new challenge within more »

and business. You'll know "what good looks like". Broad relevant knowledge based; i.e digital marketing, analytics & reporting, customer modelling. Any exposure to machine learning or other sophisticated techniques helpful. A clear ability to translate analytics and modelling into commercial stories that are both sharp in narrative 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 »

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 »

focus as the team grows. To be successful in the role, you will probably have the following experience: Experience as an AI Engineer/Machine Learning Engineer or similar … Hands-on experience developing AI solutions to create value Experience working at a start-up or fast-growing software environment Cloud based AI/ML solutions Python Ideally experience working with big data tech The company have a hybrid working policy and you would need to be able to get more »