conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring … of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deeplearning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science … and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility more »
AI models and deployments - Ensure compliance with data privacy and security regulations - Stay up-to-date with the latest advancements in AI and machine learning As a Gas Processing AI Engineer, you will play a crucial role in developing, implementing, and maintaining artificial intelligence solutions that drive business growth … opportunities, design AI models, and deploy such models in the gas plants. The ideal candidate should have a strong background in AI and machine learning with hands-on programming and problem-solving skills. Minimum Requirements As a successful candidate, you must have a Bachelor's or Master's degree … Hands-on experience in implementing successful AI projects in the Gas Processing sector - Strong programming skills in Python, TensorFlow, and PyTorch - Experience with reinforcement learning and generative AI (LLM) models - Experience with natural language processing (NLP) and AI Computer Vision - Excellent communication and leadership abilities Requirements: - Bachelor's or more »
or Ph.D. preferred). Proficiency in Python, C++, Java, MATLAB, etc Self driven and ability to work independently from scratch Strong understanding of machine learning techniques and deeplearning frameworks (e.g., TensorFlow, PyTorch). Experience deploying AI models in production environments. Strong problem-solving and critical-thinking … and low-frequency signal analysis. Experience with PCA, ICA, and t-SNE for high-dimensional data analysis. Proven expertise in developing and deploying machine learning models in MATLAB, including CNNs, RNNs, ensemble methods, and SVMs, with strong validation skills using nested cross-validation, Monte Carlo cross-validation, and Bayesian more »
and removing bottlenecks to produce better outcomes for analytics and data pipeline workflows. Areas to cover will include: Quantum cloud-native disaggregated architecture (Machine learning and deeplearning algorithms, AI , modern analytics, streaming data pipelines). Areas where matters require attention: : (As applications are rearchitected or created … and Automation, disaggregation (separately manage infrastructure, applications and storage). BULLISHIER traditional analytics engine has a collective signatures of workloads powered by a machine learning base workloads, planning and optimization engine. Powered by a global networks of telemetry data , from the telemetry data we are able to proactively detect … performance with simplicity factors appropriate for each application. In the data centre, we'll have heavy transformations and processing with the training and machine learning, in production Pipelines you'll deploy that tested code to the data centre. Areas to focus on Failure and recovery: As you Handle different more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
one of the most recognisable organisations, this professional services firm, offers steady career progression alongside a collaborative environment. Responsibilities : • Deliver data science and machine learning solutions. • Take responsibility for project budgets, status reporting and client deliverables. • Manage relationships with key client stakeholders. • Provide Defence and Security specialist industry knowledge … record of dealing well with ambiguity, prioritising needs, and delivering results in an agile, dynamic environment. • Excellent communication including direct correspondence with senior leadership. • Deep understanding of the lifecycle of Data Science and Machine Learning projects, from research and design, to developing, testing and managing solutions. • Experience in … the Defence and Security sector. Candidates will hold experience delivering services related to one or more core Data Science/Machine Learning domains: • Advanced statistical modelling. • Machine learning/deep learning. • Computer vision. • Natural language processing. • Machine Learning Engineering. • Machine Learning Operations (MLOps). • Ethical more »
their services. Your AI applications will have a far-reaching impact across critical national services, encompassing sectors such as defence, transport, healthcare, education and learning, central government, local public services, and beyond. What we’re looking for: UK Residency for minimum of the last 3 years to meet client … requirements Deeply proficient in Python and familiar with JavaScript Experience working with unstructured data (e.g., text, speech, image, video) Knowledge and application of machine learning and data science concepts (Natural Language Processing and Computer Vision in particular) Experience with deeplearning frameworks (e.g., PyTorch, Keras, TensorFlow) Deepmore »
Site Name: London The Stanley Building Posted Date: Jun 5 2024 At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized treatments, driving … with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML RNA Therapeutics team applies machine learning and AI … track role with responsibility for direct reports. The candidate should be comfortable being accountable for setting the direction, standards and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering and biology. Equally important will be excellent communication, interpersonal and organisational skills more »
Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and DeepLearning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »
Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and DeepLearning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »
Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) London Customer Success Success ML Engineer/At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with 250 million in funding and a rapidly growing user base. … Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning … Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues more »
are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the … grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business … while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience more »
Are you an experienced Senior Machine Learning Engineer who wants to work in a team at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With … years, are growing globally (50 employees and counting), and have ambitious plans to expand. In light of this, they are recruiting a Senior Machine Learning Engineer to continue their growth and improve the capabilities of their products. This well-funded company was founded in 2016, and provides a no … the office 3 days per week. It’s an exciting time to join this ambitious team!! WHAT YOU'LL BE DOING As Senior Machine Learning Engineer, you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs more »
involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deeplearning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and … wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact as the data scientist on the … influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth Actively contribute to roadmap and goals for the product pillar Drive regular cross functional team more »
Greater Cheshire West and Chester Area, United Kingdom
SRG
new precision medicine approach, aiming to create a single test predictive of a patient’s response to various therapies. Are you experienced in Machine Learning (ML) and Deep-Learning (DL) methods, with over 5 years of expertise? This role involves applying various ML approaches to complex molecular more »
scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of … the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as more »
who is self-motivated, organized and a problem-solver, and with demonstrable experience in developing unique solutions to problems through the application of machine learning and computer vision. You will be joining a new, exciting, recently funded project that is driving towards a commercial product to be deployed in … the field. As an integral member of the team, you will be responsible for designing, implementing and evaluating machine learning and computer vision models to detect fungal infections in root crops, such as onions. Alongside this, you will have the opportunity to drive data collection protocols to ensure high … collaborative attitude to working and we value people who relish being an important part of a larger team. Join our multidisciplinary team of machine learning engineers, software developers, hardware engineers, scientists, and project management professionals, all working to bring new, innovative solutions to issues seen within the fresh produce more »
across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should … also be proficient in the mathematical underpinnings of deeplearning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement, and … train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute more »
Machine Learning Engineer Up to £70,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Deploying … and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data Engineering function Focusing on end-to-end data pipelines, for more »
INFOLead Machine Learning EngineerUp to 115,000 + benefitsLondon - 3 days a weekThis is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to end … building and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have more »
company with 250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue … Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be working with … B functionality that highlights those capabilities, designing and executing proof of values (as needed) and securing a technical success in the evaluation process. Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Sales, Support, Product more »
Data Scientist/Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group works within … the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group … deploy production standard ML models to solve real world financial problems Build/run in-house developed and third party ML models in production Deeplearning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured more »
Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to more »
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are … academic research , and ideally 5+ years of experience in a commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deeplearning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python … and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »
Machine Learning Engineer (optimization) Startup LLM up to £200k equity London Do you have experience with optimization and quantization for ML models on HPC clusters? Are you passionate about building groundbreaking technology and shaping the future of AI? Are you excited by the thought of starting a company from … in seed funding to kick us off and aim to go for Series A in early 2025 We re looking for an experienced Machine Learning Engineer that has implemented SOTA Research and quantization techniques to optimize ML pipelines to enable people to ship their models faster and more efficiently. … ML Pipelines. Here are some of things we d expect you to have: Experience in ML quantization, PEFT, DeepSpeed, ONNX, TensorRT etc Experience in DeepLearning using PyTorch Library Experience with Kubernetes Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc Experience creating/managing more »
quality training data, in effect turning the training data problem into a data science problem. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art of computer vision and solve multifaceted algorithmic problems. You will: Experiment with … to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the … role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Encord offers a unique opportunity to be part of a more »
