226 to 250 of 622 Machine Learning Jobs in London

thrive in a fast-paced, agile environment? Do you have a knack for Scala and a desire to push the boundaries of personalization with machine learning? We are looking for an experienced Scala Developer to join our dynamic team on a contract basis, working with a high-profile … leveraging technologies like Kafka, Cassandra, Kubernetes, GCP, and AWS. Utilize Akka HTTP and Akka Streams to maintain and enhance existing services. Innovate and integrate machine learning techniques to advance our personalization capabilities. Operate within a self-organized, agile team , taking ownership of your work. Advocate for and implement more »

Machine Learning, Artificial Intelligence and a fresh approach to physical security. Not the kind that asks you for identification, but the kind that has been widely underutilised and if you’ve ever seen Crimewatch, neglected by many organisations. You will be working with a team of engineers spread … and opportunity. Being an IoT start-up, you’ll have a direct impact on multiple areas of the product lifecycle. Whether you’re deploying learning models or developing new features for telemetry, you will be making a difference. The codebase here is largely written in C++ and will certainly … of experience levels. The salary on offer is up to £120k. Interested in joining a start-up with some of the industry leaders in ML/AI? Get in touch. No up-to-date CV required. more »

optimize customer engagement predicting lifetime value alongside highly tailored marketing strategies. Developed by a phenomenal team of expert data scientists their sophisticated algorithms utilize machine learning models to determine the most effective actions for each customer. Backed by a globally recognised venture capital firm they have garnered significant … industry (casino/sports betting) or other relevant verticals Strong understanding of CRM and CRM automation systems Solid knowledge and passion for AI and machine learning Experience with fundraising and investor relations would be beneficial Based in London or open to relocation more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you more »

on best-in-class technical excellence and delivery by setting standards, defining ways of working and championing best practice Overseeing the professional development and learning for technologists in the team Co-owning the overall strategy for the Defence Unit incl. designing team structure, managing budgets, coordinating staffing and recruitment … ll:Be an established technology leader with a track record of leading both the strategy and the delivery of projects in the AI/Machine Learning spaceHave the ability to communicate complex, technical information to internal and external stakeholdersIdeally have experience in the Defence/National Security sector … particular within resource-constrained settings e.g. denied environments, edge and on-device Come from a hands-on background with real-world deployment experience of machine learning or AI applications in production and architecting hardware/software systemsShow strong commercial aptitude, with the ability to maximise commercial, technical and more »

Location: London, UK Open to: Hybird, Remote, On-site About us: Algo Capital is a leading global talent search firm focused on Quantitative Trading, Machine Learning, Trading and High Performing Computing Technologies. We build exceptional teams for top tier financial and tech first firms across the US, EMEA … Consultant to join our London-based technology team. Who you are: Proven track record in high-performing technical recruitment teams (quantitative trading, fintech, Crypto, Machine Learning, Technology) Agile and adaptive, showcasing confidence in navigating fast-paced trading and technology environments Extensive experience collaborating with diverse clients to build … candidates and clients Mentor and train junior recruitment consultants on industry-specific best practices Benefits: Competitive commission structure (£100-£300K OTE) Strong leadership training, learning development initiatives, and bespoke automated systems Employee-led communities, social clubs, and a collaborative culture where people thrive Low admin, allowing focus on high more »

a functional consultant, responsible for requirements gathering, functional design and system configuration. Exposure/awareness of Artificial Intelligence (AI) and Machine Learning (ML) would be an added advantage. Quick and innovative thinking with the acumen to correctly interpret trends/patterns from available data and formulate effective actions more »

a functional consultant, responsible for requirements gathering, functional design and system configuration. Exposure/awareness of Artificial Intelligence (AI) and Machine Learning (ML) would be an added advantage. Quick and innovative thinking with the acumen to correctly interpret trends/patterns from available data and formulate effective actions more »

projects. The ideal candidates are passionate about working in technology and games as well as have a history of working within data science/machine learning environments. In this role, you willOwn the outcome - No matter the complexity or challenges, ensuring that our products launch and operate successfully. … creation and delivery of complex projects in a fast paced environment.2+ years of experience with production/project management on a team focused on machine learning or content moderation.Familiarity working with policy, legal and regulatory experts to maintain and expand compliance initiatives.EPIC JOB + EPIC BENEFITS = EPIC LIFEWe more »

preferred Experience in at least 2 full life cycle enterprise application implementations Exposure/awareness of Artificial Intelligence (AI) and Machine Learning (ML) To find out more, get in touch: PRODUCT OWNER Procurement £450 pd Inside IR35 12 months rolling C. London, hybrid more »

focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business’s utilizing our single version of data truth which will power all … R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post-qualification work experience to include: Working with large third-party vendors more »

A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate ML Processes: Integrate machine learning solutions into existing systems … and automate workflows. Deploy and Scale Models: Manage the deployment of ML models to production, ensuring scalability. Monitor and Optimize: Oversee model performance and conduct periodic tuning. Collaborate on Innovations: Work with cross-functional teams to improve model performance and implementation practices. Ensure Security: Adhere to security and compliance standards … in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/ more »

ML Engineer – Founding team – LLM Startup – upto £200k Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you have experience with … ll be a founding member!) Fuel your innovation with $5M in seed funding We're looking for someone who can: fluently the languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...) inference servers like multi-LoRa, LoRA Exchange, TitanML ️ multi-node HPC clusters like a pro ️ Deep Learning with PyTorch more »

domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Apply now for immediately consideration for this Software Engineer opportunity. Understanding more »

Technical Skills: Overall good knowledge of Oracles cloud solutions (OCI, IaaS, PaaS, Networks) Strong knowledge of AI technologies Application AI features for different industries Machine Learning, Deep Learning Common AI use cases AI services & technologies (Digital assistant, NLP, Speech, Anomaly detection) Generative AI incl. Cohere Data science more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

effectively.Lead and coordinate cross-functional teams comprising tech, product, and analytics to deliver projects that drive business value.Manage and mentor junior developers, fostering a learning environment that encourages growth and innovation within the team.Lead other developers from the front, building a deep knowledge of our codebase.The ProjectsYou'll be … working on large mature code bases, you'll need to be comfortable learning new things as you go:Reimagine and improve our credit decisioning platform to optimise customer journeys.Build and maintain integrations with third party data providers to enable our credit-assessment process.Constantly improve our customer application journey, leading … systems, and in engaging in full-stack projects.Commercial awareness and product mindset.Bonus:Experience building large systems in complex business domains.Experience with data analytics and Machine Learning processes.An understanding of complex data systems and event-sourced data models.A strong numerical or technical background, ideally with a degree in maths more »

If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with colleagues to define and champion technical specifications, taking the lead … technical advances in digital nature data delivery & analysis. Support grant ideation, development & delivery. Oversee the maintenance of software development documentation & infrastructure on GCP for ML ABOUT YOU Strong background in ML software development & pipeline configuration. Good understanding of research & product development. Familiar with DataOps & MLOps. Able to deploy & test ML … models in production. Good understanding of the principled evaluation of ML models. Familiar with many different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. What Sets You Apart Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT more »

Imperial College London.Working hand-in-hand with laboratory teams at BioNTech, our RNA research group is advancing the state-of-the art in deep learning applied to RNA science. Our expertise is shared across the company to enable BioNTech to maintain their world leading position in the field of … including knowledge of emerging literature.Guide research agendas, planning, and interpretation of results.Present findings effectively to external and internal stakeholders.Provide an expert reference on deep learning and how it may be applied to biological tasks.Undertake other activities in biological machine learning as required.Essential SkillsTrack record of successful self … directed deep learning research, for example in postdoctoral research or as a group leader. 3 or more years of post-PhD experience or equivalent.Demonstrated research impact, for example through the publication of high impact scientific papers or successfully commercialised patents.Practical experience developing state-of-the-art deep learning more »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest more »

and experience in one or more technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial regulation is highly desirableAwareness of industry trends across wider technology e.g. RegTech, Cloud, Big data & Analytics, and more »

are accounted for.Model-driven insights.Wielding our modelling and analytics tools (and adding new ones where appropriate) to discover insights. Such insights may be a learning about how our customers behave or the efficacy of a new modelling technique.Effectively communicate these insights with the broader business to drive value by … scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built your own optimiser).Excellent knowledge of stochastic processes and related mathematical techniques.Experience with modelling credit risk or … your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The cultureAt iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore more »

and technologies.You will therefore operate closely with business and Datascience experts coveringBusiness sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others.AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics(For more information about our Data … team and advising on positioning in the market.Supporting the operational and Career Management of Data science consultantsCoaching and mentoring colleagues’ performance and development.Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice.What skills and experience more »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »

across the organizationPolicy and Standards Development: Design and implement guardrails, policies, standards, and best practices for AI development, ensuring ethical use and consistencyFostering a Learning Culture: Encourage a culture of continuous learning and innovation around AI technology and engineering principles within the teamProject & Product Management: Ensure that the … a 14er challengeComplimentary beverages, snacks and all employee Happy HoursMust have skills Computer Science, Engineering, Mathematics, or related field of educationExpertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAIStrong programming skills in Python, R, C#, or similar, with experience in cloud … and consensus from all levels of the organizationCommitment to ethical AI development, with a track record of implementing effective policies and standardsPassionate about continuous learning, with the ability to foster a collaborative and innovative team environmentNice to have skills Strong leader equally comfortable facing off to partners and directing more »