About Renude Renude is developing the world’s first dermatologist-approved AI skin advisor. With less than 650 dermatologists operating in the UK and similar shortages existing around the world, access to qualified skin advice is limited. We aim to create a way for everyone, everywhere to access reliable skin advice personalised to their needs. Our technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support. About the Role As a Machine Learning Engineer you’ll work alongside a team of machine learning researchers and engineers as well as our dermatological team. Your work will play a pivotal role in developing out new generative AI features, while supporting the development of our existing technologies, including computer vision models and recommendation systems. Key Responsibilities <ul><li>Define, evaluate and assess AI systems performance</li><li>Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines</li><li>Explore and implement state-of-the-art algorithms to keep our product on the cutting edge techniques</li><li>Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques to improve model quality and efficiency</li><li>Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions</li><li>Apply data-centric AI approaches to enhance data quality when necessary</li></ul> We use proven technologies combined with managed hosting solutions to focus on what differentiates us and produce high quality software, our current stack includes: Python, React, Postgres, AWS. Minimum Qualifications <ul><li>Bachelor's degree in a technical field such as computer science or years of equivalent experience</li><li>Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations </li><li>Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras</li><li>Experienced with foundational Large Language Models (LLMs) APIs </li><li>Experience in LLMs quantitative analysis</li><li>Exposure to MLOps practices</li><li>Familiarity with version control systems (e.g. Git) and agile development methodologies</li></ul> Preferred Qualifications <ul><li>Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field</li><li>3+ years experience writing production ready code </li><li>Prior experience with AWS Cloud stack (SageMaker, EC2, Lambda, S3, RDS)</li></ul> Benefits<ul><li>Competitive salary</li><li>Remote working</li><li>Participation in our share option scheme</li><li>Pension enrolment </li><li>25 days holiday</li></ul>

About Alphaleon<ul><li>Alphaleon is a growing start-up that specializes in the development and consulting of Artificial Intelligence (AI) solutions, providing expert services to a diverse range of industries across the UK.</li><li>We are searching for a talented and experienced Machine Learning (ML) Engineer, specifically in the Natural Language Processing area, implementing LLM, RAG, knowledge graphs, and multi-agents, who can be part of our energetic, friendly, driven, and focused team.</li></ul> Role DescriptionThis is a contract (remote) position for a Machine Learning / Generative AI Engineer at Alphaleon. Responsibilities<ul><li>You will be responsible for developing and implementing Generative AI solutions using LLM, RAG, and RAG with Agents.</li><li>Provide consultancy on Gen AI-based solutions to clients.</li><li>We are a fully remote company but are ideally seeking a candidate based in the UK.</li></ul> Requirements<ul><li>3+ years of experience in machine learning or AI research and development, with a portfolio of projects demonstrating expertise in Natural Language Processing (NLP), Large Language Models (LLM), Retrieval Augmented Generation (RAG), Named Entity Recognition (NER), and Chatbot Development.</li><li>Deep knowledge of Generative AI, LLMs, Transformers, vector databases, and knowledge graphs.</li><li>Familiarity with LangChain, LlamaIndex, HuggingFace libraries.</li><li>Proficient in MLOps & DevOps Tools such as Docker, Kubernetes, Terraform.</li><li>Good knowledge about databases, proficient in SQL and ORM tools such as SQL Alchemy.</li><li>Knowledge of data preprocessing and feature engineering techniques.</li><li>Experience with AWS (Lambda, SageMaker, EC2, S3, EKS, Bedrock, Kendra).</li><li>Keep up with the latest developments in the field.</li><li>Ability to work independently and collaboratively in a remote setting.</li><li>Good verbal and written communication skills in English.</li><li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.</li></ul>

???? About Us High-quality data access and provisioning shouldn't be daunting and time-consuming. Synthesized automates this process — we solve the problem of replacing sensitive production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform. Our products are used by some of the world's leading organizations, such as Deutsche Bank, UBS, the European Commission, and others. We continue to be a part of various roundtables on AI regulations and ethics in the UK and Europe. Most recently, Synthesized contributed to the AI Roundtable with the Secretary of State for Science, Innovation, and Technology who hosted senior AI leaders at Downing Street. We’re an ambitious VC-backed startup, with leading global investors including IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans for 2024, and would love you to join us on the journey. ???? The Role As a Senior Machine Learning Engineer at Synthesized, you'll work alongside (thoughtful and kind) machine learning and statistics researches from top universities in the UK and world class software engineers. You'll be tasked with developing machine learning techniques and applying them at scale to our projects. You'll interact with customers on a regular basis. You should be motivated by a desire to solve the most important problems and obtain unprecedented results, rather than producing “yet another paper”. You should be eager to push your architectures to their maximal performance, rather than being satisfied with toy tasks and proofs of concept. ???? Key Responsibilities<ul><li>Develop new and improved methods for generative modelling, unsupervised learning and meta-learning.</li><li>Run machine learning tests and experiments</li><li>Perform statistical analysis and fine-tuning using test results</li><li>Extend existing ML libraries and frameworks</li></ul> ???? About You<ul><li>Good knowledge of probability, statistics and algorithms</li><li>3+ years of experience in creating high-performance implementations of machine learning algorithms</li><li>Good knowledge of data structures, data modelling and software architecture</li><li>Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn)</li><li>Past experience in developing data software products (optional)</li><li>Track record of coming up with new ideas in machine learning, as demonstrated by one or more publications or projects (optional)</li></ul> ✨ What We Offer<ul><li>Wonderful office in the heart of Shoreditch, hybrid 3-days ????</li><li>Generous cash compensation and share options ????</li><li>Flexible work hours ⏰</li><li>Personal development budget (coaching, courses, events) ????</li><li>Competitive health and dental plan coverage ⚕️</li><li>32 days paid leave per year including flexible national holidays ????</li><li>Snacks and drinks provided weekly ????</li><li>Working alongside great people in a friendly and respectful environment ????????‍♀️</li><li>Company events, regular team socials, and international trips ✈️</li></ul> ???? Equal OpportunitiesWe are committed to an inclusive and diverse workplace at Synthesized. Synthesized is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.

We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities:<ul><li>Experience working with Data Scientists to understand ML models and translate them into robust, scalable production code using Python and tools like TensorFlow.</li><li>Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment.</li><li>Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI.</li><li>Monitor and maintain ML systems in production, address performance issues, and implement improvements.</li><li>Define software engineering standards for building, documenting, testing and deploying machine learning code.</li><li>Stay up-to-date with advancements in ML ops and DevOps for machine learning systems.</li></ul>Requirements:<ul><li>3+ years’ experience building and deploying machine learning systems.</li><li>Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn.</li><li>Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc).</li><li>Experience with Vertex AI</li><li>Understanding of CI/CD pipelines and DevOps processes.</li><li>Ability to collaborate with data scientists and software engineers.</li></ul> Please apply now to discuss in more detail!

Machine Learning Engineer at Advisory AI About Advisory AIAdvisoryAI is an AI-powered Co-pilot assistant for financial advisors. Our mission is to democratisewealth management by automating complex workflows for financial advisors. Our AI-first approachhelps advisors spend less time on middle-oce tasks and more time concentrating on buildingstrong, genuine connections with clients. At AdvisoryAI, we encourage experimentation, fast execution, and fast learning. We are adaptableand agile. We value driven people who take initiative and voice their opinions. We love self-starters!At the heart of our culture is open communication, transparency, and trust. We encourage our teammembers to speak up, share their ideas, and challenge the status quo.Read about us on Financial Times About this roleThe Machine Learning Engineer will be responsible for defining and developing ML Platform andframeworks for generative AI powered applications. You will collaborate with diversecross-functional partners, including model developers, machine learning systems engineers andapplication developers. This position is Hybrid, located in London, and is Full time. Your responsibilities● Running machine learning tests and experiments● Implementing appropriate ML algorithms● Design & Develop machine learning applications according to requirements● Select appropriate datasets and data representation methods● Run machine learning tests and experiments● Perform statistical analysis and fine-tuning using test results● Train and retrain systems when necessary● Extend existing ML libraries and frameworks● Keep abreast of developments in the field Ideal Candidate● Bachelor’s degree or equivalent in Computer Science or equivalent field.● 5+ years of industry experience designing, building and supporting machine learningplatforms, services and frameworks.● Ability to apply your NLP and LLM knowledge with a product-oriented focus.● Strong proficiency in embeddings, vectorization, vector stores, database optimization,performance tuning, and relevant query languages.● Familiarity with embedding, retrieval algorithms, agents, data modelling for vectordevelopment graphs.● Excellent knowledge of dierent prompt engineering techniques.● Ability to optimise Retrieval-Augmented Generation (RAG) model to increase accuracy andreduce hallucinations.● Good knowledge of MLOps.● Solid understanding of concurrency and multi-threading, multiple design patterns anddebugging and analytical methodologies.● Self directed, self motivated and detail oriented with ability to come up with good designproposals and thorough analysis of production issues.● Experience with LLM and other related frameworks like Langchain, LLamaIndex.● Excellent problem-solving skills and the ability to work in a collaborative team environment. Salary Range & Benefits ● Annual Learning & Development of $500 (option to increase budget is available uponrequest and subject to terms)● Competitive salary● Generous paid time o & a positive work environment that rewards hard work andencourages team camaraderie

Senior Machine Learning EngineerLondon, UK (2-3 days in office per week)Salary: £80,000 - £100,000 per annum + discretionary bonusAre you a seasoned Machine Learning Engineer with a passion for cutting-edge technologies? Do you want your work to have a direct impact on the products and services the company are utilising through Machine Learning? If so, join our client who is a hypergrowth fintech and one of the most exciting companies in UK right now!Key ResponsibilitiesAs a Senior Machine Learning Engineer, you will:<ul><li>Leverage your minimum 5 years of experience in the AI/ML space to lead the development and deployment of advanced machine learning models.</li><li>Apply your expertise in regression modelling and time series modelling to solve complex problems and enhance our financial technology solutions.</li><li>Collaborate with cross-functional teams to ensure seamless integration of machine learning models into the products and services.</li><li>Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and excellence.</li></ul>Requirements:<ul><li>Minimum of 5 years of hands-on experience in machine learning engineering.</li><li>Proven expertise in regression modelling and time series modelling.</li><li>Numpy / Pandas / Keras / Tensorslow / XGBoost / Scikit-learn</li><li>Experienced in GCP preferably</li><li>Extensive background in deploying and productionizing machine learning models.</li><li>Strong programming skills in languages such as Python, R, or similar.</li><li>Solid understanding of AI/ML technologies and trends.</li></ul>How to Apply:If you are an experienced Senior Machine Learning Engineer seeking a new challenge and believe you have the skills and expertise to drive innovation in the fintech space, we encourage you to apply.Please do email zach.binge@lafosse.com latest by 19th April!

Machine Learning Engineer Jobs in Greater London, England

Machine Learning Engineer
May 3, 2024

Machine Learning Engineer
May 1, 2024

Senior Machine Learning Engineer
April 21, 2024

Machine Learning Engineer Gcp
April 19, 2024

Machine Learning Engineer
April 8, 2024

Senior Machine Learning Engineer
April 8, 2024

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Machine Learning Engineer Jobs in Greater London, England

Machine Learning EngineerMay 3, 2024

Machine Learning EngineerMay 1, 2024

Senior Machine Learning EngineerApril 21, 2024

Machine Learning Engineer GcpApril 19, 2024

Machine Learning EngineerApril 8, 2024

Senior Machine Learning EngineerApril 8, 2024