1 to 25 of 38 Machine Learning Jobs in Slough

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a … critical role in shaping products that can make a meaningful impact on people's lives? We're looking for an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. More ❯

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London– 3 days in office/2 days remote Salary: £30,000 – £32,000 + bonus + healthcare, pension … an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to More ❯

with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions : Create algorithms and tools that automate and enhance decision … Computer Science, Engineering, or related fields. Proficiency in programming languages : Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge … Experience in finance : Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive : A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset : Ability to think critically and approach challenges with innovative More ❯

what’s possible with large-scale generative models and next-gen cloud infrastructure. We're offering a rare opportunity to step into a Staff Machine Learning Engineer role and play a key part in shaping the platforms powering millions of users across the globe. You'll be joining … the developer experience Identifying and resolving bottlenecks through profiling, benchmarking, and performance tuning Helping to define best practices for building, testing, and maintaining production ML services and APIs Mentoring other engineers and helping to foster a culture of technical excellence and innovation What our client is looking for 7+ years … of experience building and deploying large-scale ML systems in production Strong Python and PyTorch skills, with a deep understanding of transformers, LLMs, and multimodal models Hands-on experience with distributed training frameworks like DeepSpeed or FSDP Solid background in GPU programming (CUDA, ROCm) and inference optimisation Practical experience with More ❯

end ownership of MotionTrak’s analytics layer—from raw sensor streams to production-ready algorithms. You will design signal-processing pipelines, build and validate machine-learning models, and work cross-functionally to embed your work in firmware, cloud and mobile applications. Responsibilities Own the signal pipeline – design, build … modules for multi-IMU data streams. Develop movement analytics – develop algorithms that extract gait features, then turn these into actionable metrics. End-to-End ML ownership – select and tune models for cloud analysis and longitudinal prediction. Validate in real life – define study protocols, run data-collection campaigns, and perform statistical … in Biomedical Engineering, Computer Science, Electrical Engineering, Biomechanics, Data Science or a closely related discipline. Deep understanding of digital signal processing, statistical modelling and machine-learning techniques, evidenced by publications, patents or shipped products. Minimum 1–2 years applying quantitative analytics or data-modelling in a commercial or More ❯

workflows across secure cloud and on-premise environments Combine structured, unstructured, and geospatial data to build models and extract actionable insights Apply statistical techniques, machine learning, and AI to solve domain-specific problems Collaborate with engineers, analysts, and stakeholders to develop robust data-driven solutions Support the optimisation … Strong programming skills in Python, with knowledge of SQL and data visualisation tools (e.g. Tableau or Power BI) Solid understanding of statistics, mathematics, and machine learning fundamentals Experience working with large datasets and contributing to analytical platforms or data products If you're a Data Scientist looking to More ❯

with a passion for electronics, optics/photonics, networks, systems and software? Are you looking to work on cutting edge products in AI and Machine Learning? Then this might just be the role for you! We are working with a disruptive London based Computer Networking company who are … working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data Centre’s and HPCs. They are looking for a Lab Technician to coordinate all aspects of lab operations on Optical Products to join them in their mission to revolutionise AI More ❯

grow more sustainably and profitably. You’ll join a growing start up of high performers and work at the intersection of crop growth modelling, machine learning, and agronomy, directly supporting the development and improvement of a cutting-edge product! What you’ll be doing: Own and evolve crop … modelling work using DSSAT, APSIM, or similar models (e.g. tuning cultivar parameters, incorporating new environmental risks, modelling fertiliser effects). Support the development of machine learning layers on top of crop models, integrating satellite data and in-field results. Analyse results from ongoing trials to refine models and More ❯

and communication skills, with experience working with senior management. Understanding of business drivers and processes, with the ability to relate technology to segment priorities. Learning agility and a desire to adopt new technologies. Proven ability to influence and deliver results in a matrixed organization. What will be your key … tools and platforms across Demand, Supply, R&D, and Commercial areas. Develop communication and training plans on analytics and data engineering standards. Collaborate with ML engineers and architects on technical architectures for enterprise projects. Stay informed about advances in machine learning, data science, and AI. What can you … with talented colleagues guided by our Five Principles. Be part of a purpose-driven company aiming to build a better tomorrow. Receive top-tier learning and development support, including Mars University. Enjoy a competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. All qualified applicants will More ❯

energetic, responsible and together - shape the foundation of our corporate culture. Join us for a rewarding career in management consulting, offering competitive compensation, continuous learning, and ample opportunities for professional growth. For more information, visit www.wavestone.com and become part of our journey to shape a positive and impactful future. … as organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value. D&AI Architecture & Platform Advisory : Combining architectural … data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations More ❯

working with external vendors. Effective communication skills, with experience presenting to senior management. Understanding of business processes and how technology aligns with segment priorities. Learning agility and enthusiasm for new technologies. Negotiation and influencing skills, with a proven ability to deliver in matrix organizations. Key Responsibilities Design and maintain … R&D, and Commercial areas. Communicate analytics capabilities, standards, and processes effectively. Collaborate on technical architecture development with engineers and architects. Expand knowledge in machine learning, data science, AI, and related fields. What can you expect from Mars? Work with diverse, talented teams guided by our Five Principles. … Join a purpose-driven company committed to building a better tomorrow. Access to top-tier learning and development resources, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender More ❯

quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes and help lead the adoption of intelligent systems within our platform. If … database technologies, and other web technologies to develop sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly … a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques Degree in Computer Science or a related field. What More ❯

to integrate seamlessly into enterprise applications, particularly within the financial sector. A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 3rd and 4th Backend Engineers to keep up with client demand for Product Development What You’ll Do Design, develop More ❯

Analytics Experience using Big Query Nice to Haves: Experience supporting data-driven product roadmaps and experimentation programmes Familiarity with customer segmentation, predictive modeling, and machine learning Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge of More ❯

processing Desirable Skills 🔹 Experience with SWIFT banking protocols 🔹 Knowledge of Azure Functions 🔹 Frontend skills ( React, Vue, or Angular ) for full-stack contributions 🔹 Exposure to machine learning/AI for risk/fraud detection How to Apply To be considered, please submit your CV via the Computappoint website . More ❯

roles to involve the talent and experience that we require. What are we looking for? Strong analytical mindset with experience in advanced analytics and machine learning techniques Proficient in statistical software and hands-on model development (e.g., scorecards, predictive models) Able to translate complex analytical insights into clear … deployment. The job requires bringing technical expertise and understanding in analytics, data science and insight to bear in the market. This will demand rapid learning about the data we have, the business needs/challenges and applying expertise in analytics, data science, leadership, and delivery to turn this into … by The Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in fintech, banking, lending, or payments preferred. Expertise in machine learning, statistics, and large-scale data processing. Hands-on technical ability (Python, SQL, cloud platforms like AWS or GCP). Excellent communication skills More ❯

transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven More ❯

Experience delivering an AI-powered application (personal or commercial) Comfortable in client-facing scenarios – clear communication is essential A genuine interest in AI and machine learning Bachelor’s degree in Computer Science (or similar) Based in the UK, Denmark or Sweden with the ability to attend on-site More ❯

on the Bentham Manuscript Submission Portal ( https://bit.ly/3Dloi4o ). Requirements: Scientist, engineer, or researcher (PhD) with experience in artificial intelligence, machine learning, and data science, including research in developing AI algorithms, neural networks, natural language processing, and innovative AI applications to address real-world More ❯

ownership mentality, and ability to navigate ambiguity. Passion for working on impactful, real-world problems. Strong collaboration skills, working closely with product, engineering, and machine learning teams. Ambition to grow within the company and take on increasing responsibility as the business expands. If you're interested in hearing More ❯

skills. Desirable: Knowledge of hybrid/multi-cloud environments and advanced cloud networking. Familiarity with Zero Trust security principles and cloud-based AI/ML services. Details: Salary : £90,000 per annum Location : Hybrid (2–3 days on-site) Eligibility : British Citizenship required If you are interested please email your More ❯

Imagine how nice it would feel to work at a company that has the freedom to build solely AI solutions and AI agents. You could work with no restraints, have creative freedom, and be challenged to develop innovative AI solutions More ❯

collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and … strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work … by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

Data Science, or related field 8+ years in enterprise technology, with 3-5 years in platform operations or service management Experience managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, Hugging Face) Proven in scaling MLOps or LLMOps practices in production Certifications in cloud platforms … Azure, AWS, GCP) and/or ITIL preferred Advanced AI/ML, MLOps, or LLMOps certifications are a plus Active participation in GenAI communities encouraged Strong understanding of AI governance, data privacy, and Responsible AI Experience with frameworks like TensorFlow, PyTorch, LangChain Leadership skills for cross-functional teams in complex … Work with diverse, talented associates guided by core principles. Join a purpose-driven company committed to building a better tomorrow. Access to top-tier learning and development, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. Accommodations are available upon request for applicants More ❯