19 of 19 Remote/Hybrid Permanent Deep Learning Jobs

Deep Learning Engineer (TensorFlow Lattice OptNet DeepXDE) London to £150k+ Do you have expertise with Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast … elements of demand and supply of energy for European markets. As a Deep Learning Engineer you will design, develop and deploy advanced deep learning models to tackle some of the most complex problems in global energy markets, applying cutting-edge neural network and deep learning ...

fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This … research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work ...

signature and contract lifecycle management (CLM). What You'll Do Docusign is looking for a passionate, talented, and inventive Senior Machine Learning Engineer to help build industry-leading innovative solutions. The MLE will leverage mining, deep learning, content understanding, document processing and more. You will prototype … machine learning models that deliver more personalized and automated customer experiences. This position is an individual contributor role reporting to the Director of Engineering. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies ...

Staff Machine Learning Engineer Salary - £100,000 Remote Europe Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited by influencing strategy, mentoring engineers, and working fully remotely across Europe within … time of investment in AI, where your decisions directly shape the road-map and overall model capability. THE ROLE As a Staff Machine Learning Engineer you will... Lead the design, development, and deployment of end-to-end ML solutions. Architect scalable ML systems and pipelines that integrate seamlessly with ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain … Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models ...

established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across … US. Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data ...

Staff Machine Learning Engineer - Fully Remote LLM & NLP required We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines … research and adoption of new ML techniques Present technical insights to both technical and non-technical audiences Your Skills & Experience 8+ years in Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics ...

Responsibilities End-to-End Delivery: Lead the technical execution of AI projects, from initial problem discovery and hypothesis testing to deploying production-grade machine learning models. Strategic Advisory: Act as a "translator" between technical complexity and business value. You will work closely with C-suite stakeholders to identify … solve their most pressing strategic challenges. Technical Leadership: Architect robust, scalable data pipelines and state-of-the-art models (including LLMs, Reinforcement Learning, or Bayesian Inference) tailored to specific client needs. Mentorship: Guide and upskill junior Data Scientists, fostering a culture of rigorous peer review, clean coding standards ...

Machine Learning Engineer London onsite to £110k Do you have expertise with Machine Learning in production? You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you'll shape. The product … agentic based platform that writes production grade code. As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. This isn't prompt engineering. You'll design ...

nationalities. About the opportunity We are seeking a Senior Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. In this role, you will: Have end-to-end responsibility, from data exploration to applying state … machine learning techniques and building production-ready applications. Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment. Drive your project and work with experienced data scientists, machine learning engineers, and product managers to deliver customer value and allow you to develop your ...

skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines … workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g. ...

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected … scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with ...

fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn. … cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques ...

security, and compliance of AI platforms Required Experience Proven leadership delivering Generative AI programmes at enterprise scale Strong advisory background engaging senior business leaders Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language … tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines ...

your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. Contribute to the evolution and activation … newly implemented CDP, helping the organisation realise its full value. Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. Partner with data ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

agents into real-world applications. • Write clean, efficient, and testable Python code. • (Optional) Apply data science techniques to train and fine-tune ML or deep learning models. Required Skills: • Strong proficiency in Python and related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands-on experience ...