1 to 25 of 36 Machine Learning Jobs in Bristol

Lead Machine Learning Engineer Paying between £100,000-£140,000 + stock options Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting-edge Bio-Tech AI Start-up, who are currently hiring … leverage microscopy data and genomics to drive transformative discoveries. As the Lead Machine Learning Engineer, you will be responsible for leading the ML team for creating and implementing the computer vision and other machine learning models for cell prediction. You will also play a crucial role … or AI-bio company, with a focus on taking models from concept to production. Previous experience taking the technical lead of a team of ML engineers. Strong background in computer vision ML models and using modern frameworks for deploying these models. Proficient in Python, and familiar with deep learning more »

transformative discoveries. As a Machine Learning Engineer, you will be an integral part of the Machine Learning team, taking the ML models and bringing them into production, working as part of a cross-functional division. They are looking for someone with solid knowledge of ML models … for computer vision and an understanding of modern ML frameworks to deploy these models into the production environment. Requirements 2/3+ years as a Machine Learning Engineer within real-world data environment, working as an end-to-end ML engineer. Solid knowledge of ML models for computer … vision, and an understanding of modern ML frameworks to deploy these models into the production environment. Experience of Python programming, ML frameworks such as PyTorch. Expertise with cloud infrastructure (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to find out more! Machine 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 »

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 »

Machine Learning Engineer - Defence Business Unit - Must be able to be security cleared Job Description We are seeking a Machine Learning Engineer to join our Defence business unit. In this role, you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage … range of high-impact problems in the defence and national security space. Key Responsibilities Engineering Production-Grade Systems: Design, build, and deploy production-grade ML software and infrastructure. Creating Scalable Tools: Develop reusable and scalable tools to improve ML system delivery. Customer Collaboration: Work with customers to understand their needs … and provide technical expertise. Best Practices Development: Collaborate with data scientists and engineers to develop best practices and new methodologies for operationalizing ML software. Cross-Functional Teamwork: Participate in cross-functional teams including commercial, data science, product management, and design specialities. Your Role Work in cross-functional teams to deliver more »

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning … be pivotal in advancing the development of the AI models, contributing to research, methodology development, data enhancement, and collection. Requirements: Strong educational background in ML or related topic, with a PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). … Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out 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 »

Machine Learning Engineer Bristol or remote Up to £65,000 Opportunity to establish the ML/AI function within an already successful revenue-generating business Gain exposure to a range of projects across audio, NLP and computer vision Significant career progression opportunities I'm looking for an ML … Engineer with experience building ML architecture and infrastructure and taking models into production. You'll be joining a well-established business with a 75% market share in their respective space and whose products are already used by hundreds of thousands of people across the UK. They're now looking to … line and develop new ones. Unsurprisingly, they're looking towards AI to help enhance their product offering and so they need to bolster the ML expertise within the business. This is a brand new role so you'll work closely with the CTO and Principal Engineer and enjoy a huge 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 »

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 »

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety more »

working, flexible working, option to buy/sell holiday Personal Development: Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunities Health & Wellbeing: Bupa health insurance (including assisted fertility treatments and gender dysphoria and reassignment support), wellbeing benefits (including … system architecture meets security and compliance requirements and expectations Manage project timelines, resources and deliverables to ensure successful project completion Work with AI/ML Architects to establish scalable ML frameworks and design standards ABOUT YOU ?Experience leading technical teams and engaging with business stakeholders to take ideas from concept … to production Proficiency in Python or a similar language Experience in developing, deploying and industrialising, scalable ML/AI solutions in production Proficiency in Docker, Kubernetes, and AWS services Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch Proven experience in either NLP, Computer Vision, Anomaly more »

and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to a wide 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 »

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 »

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 »

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 »

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: Competitive (Available on request) 📍Location: Bristol, twice … a week onsite 📈Huge learning and career progression opportunities 🌴Annual company holidays abroad more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM more »