51 to 75 of 121 Deep Learning Jobs in England

making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side‐by‐side with world‐class researchers and engineers to build new ML‐powered product features … problems Present results to collaborators and leadership Minimum Qualifications BSc or MSc in Computer Science, or equivalent industry experience 3+ years of machine learning experience Experience scaling machine learning training and data pipelines Experience with computational geometry and geometric methods including mesh or B-Rep models Experience with ...

understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data … Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability ...

microcontroller platforms Experience with CMSIS-NN, Tensorflow lite, Edge Impulse Background with microcontrollers such as STM32, ESP32, or Nordic platforms Strong understanding of machine learning and deep learning architectures Fluent English This is an opportunity to get in at the perfect time, work ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. Our Tech Stack Big Data: Databricks, AWS, Snowflake, Azure Programming: Python, SQL, PySpark Frameworks: PyTorch, LangChain About the Role As a Principal … Data Scientist, you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design ...

Senior Machine Learning Engineer - Foundation Models for Drug Discovery 📍 London, UK (Hybrid) | 💰 Up to £145,000 + Equity 🧬 AI Biotech Startup | Full-time About Us I'm working with an AI-first biotech company building foundation models for biology and chemistry to radically accelerate drug discovery. By combining probabilistic … modelling, large-scale biological datasets, and generative machine learning, they're creating systems capable of reasoning across molecular, genomic, and experimental data. Backed by leading investors and research institutions, our mission is to build generalisable AI models that can predict biological behaviour, reduce wet-lab iteration cycles, and unlock ...

publishing arm, and through 2000AD publishes comics and graphic novels such as Judge Dredd. Job Overview We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting‐edge ML Team. You’ll be part of a small, highly collaborative group dedicated to pushing the boundaries … game products. Key Responsibilities Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real‐time gaming environments. Implementation, and optimisation of ML algorithms and tools for game‐level generation ...

looking for a Senior Machine Learning Scientist to join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI‐driven automation for next‐generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical … teams to translate user needs into robust, production‐grade AI and automation capabilities. Qualifications Master’s or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines. Experience with LLMs (e.g., GPT, LLaMA) and VLMs (e.g., CLIP, Flamingo) applied to perception, workflow guidance or automation ...

company that empowers governments and organisations in safety‐critical or highly regulated industries to solve critical, complex, and high‐stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life‐saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult … incomplete. This is where digiLab’s expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision‐makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through ...

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring junior ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine … Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions that scale globally. The technical ...

high‐calibre team of Data Scientists, fostering a culture of rapid experimentation, technical excellence, and continuous learning. Drive innovation in Generative AI, Agentic AI, deep learning, and large‐scale ML deployment—staying ahead of the curve on foundational models, LLMs, and autonomous agents. Champion MLOps best practices, cloud … make a similar investment in you. What Sets You Apart Production AI at scale. 8+ years in AI/ML engineering, applied machine learning, or advanced analytics—with a track record of taking models from prototype to production in large, complex environments. Technical depth across modern AI. Deep ...

technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … analytics experience (typically around 5 years). Proven track record with Generative AI and LLM‐based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in‐house analytics, or agency environments. Excellent communication and problem‐solving skills. ...

design and present innovative end‐to‐end solution options to enable deal closure and sell value. The Solution Consultant supports the sales motion through deep knowledge of specific customer workflows and relevant technologies. You will join other specialists and sales professionals on agile Bid Teams to work … data ingestion, data munging activities. Experience in working with AWS and GCP services for various activities in the data science workflow. Working knowledge of deep learning frameworks such as TensorFlow and PyTorch. Broad understanding of Transfer Learning Models and its application to alternative data in Finance. Good ...

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across … converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

globally scalable robotics platform that will define the future of industrial automation. Role Overview In this role, you will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‐world industrial … real robots. Your work will raise the bar for capability, reliability, and speed of iteration. Responsibilities Key objective is to develop and deploy robust deep neural networks for robotics, supported by object detection, segmentation, and scene understanding models. Build scalable pipelines for training, fine‐tuning, inference, and real-time ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine … Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage ...

developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff … Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel to the office … Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute ...

will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models … engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...