76 to 100 of 189 Machine Learning Jobs in Slough

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We’re looking More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

frontend systems , primarily utilizing React to craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our … haves: Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training … only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the More ❯

Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP would be added advantage Must have experience in Banking or Insurance domain Must have experience working in Agile methodologies. More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and More ❯

monitoring tools including Prometheus, Grafana, Azure Monitor, DataDog, or Dynatrace Preferred experience supporting Salesforce DevOps pipelines and working with Java, .NET, or Node.js application environments Exposure to AI/ML platforms, real-time data pipelines, and basic networking (TCP/IP, DNS, firewalls, load balancing) Relevant certifications such as Certified Kubernetes Administrator (CKA), Microsoft AZ-400, or HashiCorp Terraform Associate More ❯

concepts and evaluate their business impact. Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance More ❯

and execute a comprehensive development program for all levels of sales leadership, from first-line managers to senior leaders. This includes curriculum design, workshop facilitation, and creating a continuous learning culture Strategic AI Integration: Act as the primary consultant for sales leadership on integrating AI into their management operating rhythm. Identify opportunities where AI can improve forecasting accuracy, strategic … leaders on strategic territory planning, build and inspect sales pipelines, and implement consistent, accurate forecasting cadences to drive predictable revenue AI & Technology Acumen: A strong understanding of how AI, machine learning, and data analytics can be applied to improve sales processes and leadership effectiveness Strategic & Analytical Mindset: Capacity to think strategically, identify complex challenges within a sales organization … and use data to design and measure effective solutions Adaptability and growth mindset: A passion for learning and the ability to thrive in a dynamic, fast-paced environment where technology and buyer behaviors are constantly evolving Leadership Development Expertise: Demonstrated success in designing and implementing impactful leadership development or sales enablement programs Influential Communicator: Exceptional communication, presentation, and interpersonal More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

support the launch of the Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. Requirements: Strong full-stack development …/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. Passion for sport and technology is a strong plus. What we offer: Competitive salary (depending More ❯

Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model … deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality. About the company: MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep … for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products. • Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development. • Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines. • Communication Skills: Excellent written and verbal More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/ More ❯

end project delivery , including conceptualisation, commercialisation, and implementation of data and AI solutions. Strong understanding of data strategy, governance, and platform architecture . Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation. Experience with use case development and data monetisation is highly desirable. Exceptional More ❯

AI. Our CEO, Danyal, has extensive experience in Private Equity and Investment Banking at top-tier institutions including AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, brings significant Machine Learning and AI experience from leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team consists of early-stage startup veterans passionate More ❯

skills in languages and with tools such as ReactNative/Flutter/Next.js, Supabase/Postgres, Python Experience in system architecture design and implementation Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems Experience in startup environments and rapid product development Bachelor's or More ❯

domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/ More ❯

with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding real value. They’re looking for Lead/Senior ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior More ❯

solving mindset, with a desire to understand how systems and processes work – and how they can fail. Interest in cloud computing (e.g. AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge More ❯