76 to 100 of 140 Machine Learning Jobs in Bath

years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modelling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. How to Apply More ❯

focused projects within our services team. The TPM will drive end-to-end delivery of initiatives centered around Microsoft Purview, Data Loss Prevention (DLP), Machine Learning Platform (MPIP), Microsoft Copilot, and Records Management . This role is a critical contributor to delivering secure, automated, and compliant digital environments More ❯

Azure Marketplace SaaS Microsoft certifications (e.g., Azure Solutions Architect, Azure Developer). Familiarity with CI/CD and DevOps practices. Exposure to AI/ML in SaaS environments. As a professional company we gladly welcome applications from persons of any age and background and do not intend to discriminate with More ❯

central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Flexible holiday (buy/ More ❯

SIP trace analysis, RTP streams , and protocol troubleshooting. Experience integrating with or supporting call routing , rating, and billing systems. Desirable: Experience with AI/ML or open-source tools applied to VoIP or network analytics. Exposure to containerisation technologies (e.g., Docker) and microservice deployments. Soft Skills: Strong analytical and troubleshooting More ❯

Algorithm Engineer – Defence/Aerospace Join a specialist team developing advanced algorithms at the core of next-generation Autonomous Systems , Guided Weapons , and ML-enabled defence technologies . You’ll contribute to high-impact programmes across the full engineering lifecycle — from early-stage research and feasibility studies through to development … trials, and in-service enhancement. Focus areas include navigation , guidance , tracking , sensor/data fusion , and machine learning . Key requirements: Proficiency in MATLAB and/or Python for algorithm development and simulation Degree or PhD in a technical discipline such as Aerospace Engineering , Control Engineering , Mathematics , or … Physics Experience in one or more of: Autonomous decision-making and control systems Navigation , estimation , or tracking algorithms (e.g. Kalman filtering, SLAM) AI/ML , including real-time implementation and model validation Verification & validation of complex algorithms in mission-critical systems What’s on offer: Hybrid/flexible working and More ❯

clear scientific thinking and practical problem-solving. Key Responsibilities Analyse proteomics datasets using an internal suite of computational tools Develop and maintain statistical and machine learning methods to support biomarker discovery and validation Collaborate with wet-lab and clinical teams to guide experimental design and interpret results Build … aimed at deploying predictive signatures in clinical settings Ideal Candidate PhD (or equivalent experience) in a STEM discipline 3 years experience with statistical or ML methods applied to high-dimensional biological data 2 years experience in proteomic bioinformatics Strong programming skills in R (Python/C++ a bonus) Familiarity with More ❯

Work in a fast-paced, agile environment, rapidly developing and testing new UAV technologies with a ‘fly, fail, learn’ approach. Collaborate with AI/ML experts to build autonomous navigation, image processing, sensor fusion, and real-time decision-making features. What You’ll Bring: Experience with Agile methodologies and tools … Experience developing Ground Control Software, with familiarity in open-source GCS (QGroundControl). Experience with simulation tools like Gazebo. Understanding of computer vision and machine learning (Desirable) Background in designing, developing, integrating, and testing autonomous systems (Desirable) Experience developing custom UAV systems beyond standard quadcopters. (Desirable) Ability to More ❯

Empathy and people skills Desirable experience Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the … groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as More ❯

who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a Data/ML focused project. You’ll be expected to work in a cross-functional team, devised of Platform Engineers, Data Engineers, Machine Learning Engineers and More ❯

Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions Architect Associate , Big Data Specialty ). Experience or interest in Machine Learning and AI-driven data solutions. Public sector experience is preferential Benefits £95,000 - £114,000 + bonus More ❯

proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and algorithms. Vision, insight, and the drive to lead change and deliver meaningful results. What you'll get in return A More ❯

or AI workload contexts. Familiarity with distributed file systems and advanced storage configurations. Understanding of GPU virtualization and multi-tenant HPC architecture. Exposure to machine learning frameworks and AI optimization workflows. Scripting skills in Python, Bash, or similar for automation and tooling. Personal Attributes Proactive and self-motivated More ❯

data warehouse Beneficial: Finance/fintech/insurance/regulated industry experience Azure and/or Data Engineering certifications Working with 3rd party vendors ML Ops The role is hybrid working from their Bristol offices (2 days per week). We have a starting salary of up to £100k (depending More ❯

/NPU/GPU/CPU/TPU architecture Vector/Matrix/Scaler units simulation/modelling - System C/TLM/UML ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... IP design, system design, system architecture low-power, performance More ❯

contributing to commercial KPIs and showcasing the value of data-driven marketing. Design and implement advanced analytics and data science solutions (including AI/ML) to solve business challenges. Translate data into insight - turning complex analysis into strategic, actionable recommendations. Lead client projects with strong communication, timely delivery, and measurable More ❯

Product Manager – TechBio SaaS Platform | Fully Remote | Full-Time Start Date: ASAP Join one of Europe’s most exciting TechBio startups, where machine learning meets biology to redefine how we discover and design better medicines. We're looking for a Product Manager to take the lead on our … cutting-edge SaaS platform that models cell behaviour using deep learning AI. You’ll work alongside world-class scientists and engineers to help deliver powerful tools that accelerate drug discovery across the biotech and pharmaceutical industries. What You’ll Do Own the product lifecycle from market research to launch More ❯

I am seeking a Senior Embedded Software Engineer to join a growing company specialising in Computer Vision/Machine Learning/AI Technologies. Suitable Senior Embedded Software Engineers will have 3yrs -15 yrs expertise developing low level applications with strong embedded C/C++, python, RTOS, linux programming More ❯

Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics Algorithms knowledge such as Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine Learning Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design Experience More ❯

join a business where you can take part in additional projects that will allow you to scope out additional skills in data engineering, AI, Machine Learning and Power BI. Perfect for personal development! If you have a strong desire to work in a smaller team and develop in More ❯

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like More ❯