101 to 125 of 605 Machine Learning Jobs in Berkshire

Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. … rolling up your sleeves and executing. This role is ideal for an individual who excels at building, optimising, and deploying machine learning (ML) models, and enjoys working with large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using … About You: You have experience as a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can More ❯

Python & AI Engineer 💸 £65k 📍 Hybrid (2–3 days in London office) Im looking for a Python Engineer who’s passionate about machine learning, AI, and building production ready systems. You'll be joining a small, high impact team working on cutting edge AI products. Lots of autonomy, but … also a strong culture of collaboration and best practices (Code Reviews, Testing, CI/CD, Kubernetes, AWS). Tech Stack: 🐍 Python (Flask, Django) 🧠 Machine Learning/AI 🛠️ SQLAlchemy, NumPy ☁️ AWS, Kubernetes, CI/CD What we're looking for: 5+ years experience in software engineering Strong Python + … backend experience Passion for machine learning/AI You'll be trusted to make real technical decisions and help shape the future of the product. If you have leadership potential, this could be the role for you 🫵 Drop me a message if you are interested More ❯

join our early-stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including … Target and Drug Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze … and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science 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 ❯

About the Company: Algo Capital is a leading global talent search firm specializing in Trading, Quantitative Trading, Machine Learning, and Technology. We build exceptional teams for top-tier financial and trading firms across the US, EMEA, and APAC. About the Role: Associate Consultant- Recruitment -Trading Technology, Machine Learning and Research Technology. We are recruiting for a September 15th Start date for our associate recruitment program, we are looking for Graduates in STEM subjects, Economics, Computer Science, and Physics, who have a passion for sales and Quantitative Trading, Machine Learning, and Technology. Responsibilities: Set More ❯

Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are … We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it … Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the More ❯

or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in … identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including … experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing More ❯

to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to … recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive … space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn More ❯

AI/ML Engineer – London We are seeking a talented AI/ML Engineer to join a cutting-edge team at the forefront of intelligent technology and digital transformation. This role offers a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be … training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities into digital applications. Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML … fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). A More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

Senior Machine Learning Engineer About the Role Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit … recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board. Responsibilities Develop and deploy ML models for various logistics applications. Engineer features and set up ML infrastructure. Collaborate with wider technology and operations teams. Spend time in the field to … understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid More ❯

Job Title: ML Infrastructure Senior Engineer Location: Abu Dhabi, United Arab Emirates [Full relocation package provided] Job Overview We are seeking a skilled ML Infrastructure Engineer to join our growing AI/ML platform team. This role is ideal for someone passionate about large-scale machine learning systems … on experience deploying LLMs/SLMs using advanced inference engines like vLLM. You will play a critical role in designing, deploying, optimizing, and managing ML models and the infrastructure around them—both for inference, fine-tuning and continued pre-training. Key Responsibilities · Deploy large-scale or small language models (LLMs … Build, test, and optimize LLMs Inference for consistent model deployment. · Implement and maintain infrastructure-as-code to manage scalable, secure, and elastic cloud-based ML environments. · Ensure seamless orchestration of the MLOps lifecycle, including experiment tracking, model registry, deployment automation, and monitoring. · Manage ML model lifecycle on AWS (preferred) or More ❯

3+ years of experience in backend engineering and applied machine learning Ability to design, build, and maintain scalable backend and ML infrastructure Proficient in Python Experience deploying services and machine learning models to cloud platforms such as Google Cloud, Azure, etc Hands-on experience with Large … Language Models (LLMs) and modern ML architectures (Bonus) Familiarity with knowledge graphs and their integration into ML systems Comfortable working in fast-paced, ambiguous startup environments Strong ownership mentality and ability to work across the stack when needed More ❯

offers the chance to expand the frontiers of AI applications in financial services by leveraging the latest innovations in Natural Language Processing and statistical machine learning. We are happy to consider flexible working approaches to help you perform at your best. At Nationwide we offer hybrid working wherever possible. … research with software engineering, requiring a comprehensive understanding of both domains. You will have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. … Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid understanding of fundamentals of statistics, optimisation and ML theory. Familiarity with popular deep learning architectures (transformers, autoencoders, VAE, etc). Expert understanding of Prompt engineering approaches, query retrieval strategies, and other relevant More ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

company deeply invested in innovation and advanced analytics. This would suit a lead or principal-level contributor such as a Data Scientist, Data Engineer, Machine Learning Engineer, AI Engineer/AI Developer looking to step up, or an existing manager looking for more innovation time. Key details: Salary … Proven track record in senior data science or advanced analytics leadership roles, ideally within innovative or regulated environments. Technical Depth : Expertise in statistical modelling, machine learning (supervised and unsupervised), deep learning, and MLOps. Proficiency in Python, SQL, and data science platforms such as Dataiku, Azure Synapse, SageMaker More ❯

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI/Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines … Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML More ❯

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques . Key Responsibilities Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques. Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making. Integrate AI/ML models into trading workflows. Model and analyse market microstructure across global exchanges to improve execution and reduce slippage. Experience in backtesting strategies before live deployment. Work closely with low-latency … team players are both encouraged to apply. If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly. More ❯

Summary Annapurna Recruitment is seeking an experienced Engineering Manager – GPU Kernel to lead a high-impact team focused on optimizing machine learning (ML) workloads for embedded GPU environments. This London-based role offers the opportunity to work on cutting-edge AI deployment strategies for next-generation autonomous systems … libraries that enhance the efficiency of transformer-based AI models on embedded GPUs and accelerators. Key responsibilities include: Leading and mentoring a team of ML GPU kernel engineers to ensure efficient ML deployments across a wide range of devices. Collaborating with technical leads to define foundational strategies for deployment frameworks … system-on-chips (SoCs). Setting clear objectives and priorities, and efficiently allocating resources to meet project goals. Engaging in cross-functional collaboration with ML engineers, software developers, and researchers to facilitate the deployment of end-to-end AI solutions at scale. Essential Requirements: Proven experience as an Engineering Manager More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

models (LLMs), ensuring they are secure, scalable, and cost-effective. Role Responsibilities: Design, implement, and manage scalable and secure infrastructure to support AI/ML workloads Build and maintain robust pipelines for model training, validation, deployment, and monitoring Act as a trusted technical advisor, understanding client challenges and designing tailored … through effective communication and delivery excellence Lead technical discovery sessions to identify requirements and key pain points Mentor and guide cross-functional teams of ML engineers, data scientists, and consultants, fostering innovation and best practices Contribute to thought leadership by participating in industry events and producing content on emerging trends … support continuous learning through targeted training and development initiatives Skills and experience required: Deep technical expertise in deploying, monitoring, and managing AI/ML solutions in production environments Excellent communicator, comfortable working directly with clients and multidisciplinary teams Hands-on experience with MLOps tools such as MLflow, DVC, Kubeflow More ❯

and FAIR, they're now expanding their core team to bring this revolutionary product to market. The Role They're seeking their first dedicated ML Engineer to help productise their Agentic AI platform. This role is perfect for someone who loves to move fast, ship usable systems, and operate at … arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/… experience and profile Flexible work arrangements with remote/hybrid options Comprehensive health benefits and wellness programs Professional development budget for conferences and continued learning A front-row seat to the agentic AI evolution Full ownership and trust over your code and system decisions A lean, expert team with More ❯

sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data … including data mining, predictive analytics, and data visualization. 3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machine learning algorithms. 4. *Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming More ❯