1 to 25 of 37 Machine Learning Jobs in Bristol

Machine Learning Specialist | Bristol (1x Week) | £60,000 + Benefits Exciting opportunity to join a rapidly growing scale-up in Bristol as a Machine Learning Specialist. In this role, you'll be at the forefront of our data and AI initiatives, driving innovation and delivering valuable … insights. Collaborating closely with the small and growing team you'll craft and deploy cutting-edge machine learning solutions to enhance our platform's performance. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Strong proficiency in programming languages commonly used in … setting. Passion for exploring new technologies and driving innovation in the field of machine learning. Experience with Speech Recognition, NLP, or other advanced ML applications is desirable. Benefits: Discretionary bonus (typically 7-10%). Flexibility with working in the office (1x week). Free breakfast bar. Apply below or more »

for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients … as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant … a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive more »

best talent and technologies to stay at the forefront to be the best. As a Data Engineer, you will help build end-to-end machine learning solutions deployed for use by stakeholders throughout the business that will be essential to the business' ability to serve our millions of … read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of the Machine Learning … deployment and model maintenance. Agile Ways of Working We'd love to see a passion for: GDPR-compliance and data governance in context of machine learning Infrastructure management including monitoring, backup, and disaster recovery processes OpenAI, GPT, or other LLM technologies What we can offer you Recognised and 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 »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »

the data science capability team, you will collaborate within a diverse, multi-disciplinary team, engaging in an array of client projects. Leveraging cutting-edge machine learning techniques and an astute analytical mindset, you will deliver profound insights to our clients. Your responsibilities span from intricate data exploration and … practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. Exceptional communication and presentation skills, with an advantageous background in stakeholder management. Proficiency 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 »

and the opportunity to learn new skills? This is a great opportunity to join an established software house in Bristol, who work across data, machine learning and AI. The core languages used here will be C++ and Python, but there will be opportunities to work with Perl, Bash … SQL, Docker, Ansible and a small amount of React front-end development. There is also scope to get involved in the development of machine learning models and some Linux administration. They are looking for a Senior Software Engineer with the following skills/experience: Solid back-end development 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 »

The apprenticeship will combine practical work-based learning with formal study. You will gain valuable, real-life experience in a leading international legal practice, working with global clients to enhance your commercial understanding and grow your confidence in a work environment. Role You will have a dedicated study day … and responsive to the evolving nature of future job roles within technology. Data Analyst: Data Structures, Algorithms, Data Management, SQL, Big Data Analytics, Hadoop, Machine Learning, RPA, Neural Networks Software Engineer: Object Oriented Programming in Java, UX, DevOps, JavaScript, Mobile App design and development, Android Development Essential Training 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 »

Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/c++ 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 »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun 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 »

Awareness: Ability to implement security best practices in both DevOps and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like 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 »

for experience in the following areas: -2+ years commercial experience in a Data Science or related role -Proficient using SQL & Python -Experience deploying Machine Learning models -Good communication skills and stakeholder management engagement What's in it for you? 💰Salary: £40,000-£60,000 📍Location: Bristol, twice … a week onsite 📈Huge learning and career progression opportunities 🌴Annual company holidays abroad more »

largest and most ambitious projects within Defence and Security arena. In this role, you will leverage your expertise in data science, mathematical modelling, and machine learning to help digitise Defence and Security whilst upholding traditonal values. Responsibilities: • Conduct analysis for evidence-based decision-making, developing models and analysis more »