2,901 to 2,925 of 3,535 Machine Learning Jobs in London

external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy … technical direction for multi-service, cross-domain, or organizational mobile initiatives. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Strong proficiency in Kotlin Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent.As … make high-quality decisions and build a compelling roadmap.Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

user journeys and experiences across greenfield initiatives. Introduce and embed product thinking across the wider business. Work on real software applications, including AI and machine learning products, CRM, APIs and SaaS platforms. Help establish and mature a product function that is still evolving. Influence product processes, ways … working within Agile product and engineering teams. Experience working with APIs, SaaS products, CRM platforms or other technology-led products. Exposure to AI/ML products or an interest in working within AI-enabled environments. Experience working with third-party technology vendors or partners. Confidence defining KPIs and measuring product ...

product lifecycle. Skills & Experience Needed Strong Data Product Management experience, ideally within AI, analytics or machine learning products. Good understanding of AI, ML and emerging Agentic AI concepts and their business applications. Ability to translate business challenges into product opportunities and roadmaps. Excellent stakeholder management and communication skills. ...

features you own **Preferred:** - Experience with Linux and lower-level languages - Experience with networking and cyber-security - Experience with deploying and optimising machine learning models on edge devices Core Competencies Demonstrates expertise in full stack development, including backend and frontend technologies, with a strong focus on Python … DevOps practices. Capable of deploying and optimizing machine learning models on edge devices while ensuring reliable feature updates based on user feedback. Highest-signal resume keywords Full Stack Development Python Programming DevOps Practices Machine Learning Deployment Networking and Cyber-Security ATS Optimization Keywords Hard Skills Backend ...

world model capabilities.Stay current with the latest research literature and advancements in diffusion models and generative video architectures.Minimum qualifications:PhD in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent practical experience.2 years of experience publishing research in machine learning conferences or releasing … significant research, road-mapping, and engineering work to deliver world models.When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously.Artificial intelligence will be one of humanity ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

business development, sales, or channel development in the technology industry. Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning click apply for full job details ...

business for 5 years, placing 4 people with them, and all 4 are still with the company.Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of advanced technology into Defence, security, intelligence and adjacent sectors. Their team includes highly … experienced software developers, data scientists, Machine Learning specialists and researchers, with strong academic, research and Defence backgrounds.They are now looking for a Senior Business Development Manager in Defence to join their senior team and help drive their next phase of growth.This is an excellent opportunity for an experienced ...

especially where product direction is still emerging and close partnership with Product is essential.Work closely with cross-functional partners, including Product, Design, Sales, and machine learning engineers and scientists where relevant.Help build a seamless customer experience across sales, ecommerce, support and success, so customers interact with one agent … translate that into team-level decisions.This is an engineering management role for product teams building AI-powered customer experiences in close partnership with ML and adjacent teams, not a role directly managing ML engineers or ML scientists.Why Fin, why now Fin is #1, and the race is heating up. ...

London Machine Learning Engineer (Autonomous Systems)ð London | Liverpool Street | Hybrid – 3 days per weekWant to build ML that goes beyond a benchmark and actually operates in the real world This is an opportunity to develop and deploy machine learning for advanced autonomous systems, working with … everything from computer vision and deep learning to sensor data, embedded AI and large-scale ML infrastructure.What’s in it for you Deploy ML onto real autonomous platformsWork with imagery, LiDAR, telemetry and sensor dataTake models from experimentation through to real-world deploymentWork closely with ML, hardware and systems ...

audiobooks, video, and creator data is trusted, safe, and ready to power innovation across Spotify. Our work spans content governance, platform safety, metadata, and machine learning systems that enable experiences such as Music Quiz , Playlist Mixes , Save to Spotify and SongDNA . Every day, our platform helps teams … creators. As a Principal Product Managers you will own strategy directly. In this role, you’ll shape long-term direction, partner closely with engineering, machine learning, design, and business leaders, and deliver platform capabilities that have company-wide impact. What You'll Do Define and evolve product strategy ...

higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment’s parameters in real-time. This makes for an exciting technical challenge … have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology.How you’ll make an impactDrive and support our software and infrastructure engineers working on proprietary algorithmsUphold high standards for our uptime and latency ...

cross-functional teams across data engineering, analytics, data science, and AI. Establish governance frameworks, operating models, and best practices. Drive the delivery of AI, machine learning, and advanced analytics initiatives. Partner with executive stakeholders to identify and prioritise high-value use cases. Build a scalable data capability that … Skills & Experience Strong leadership experience across data, analytics, and AI functions. Demonstrated ability to deliver enterprise-wide data transformation programmes. Experience implementing AI and machine learning solutions within a commercial environment. Strong stakeholder management skills with the ability to influence at executive level. Knowledge of modern cloud data ...

modeling, strategy backtesting, and production implementationMaintain and improve portfolio trading in a production environmentContribute to the analysis framework for scalable researchREQUIREMENTSBackground in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics2-6 years of signal research experience in macro trading as part of a trading teamSpecialization …/C++. Familiarly with data science toolkits, such as scikit-learn, PandasStrong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniquesCollaborative mindset with strong independent research abilitiesCommitment to the highest ethical standards ...

remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior 3D Artist for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.The company specialises in computer vision, perception and autonomy, combining modern deep learning … opportunities.Senior 3D Artist roleThe Senior 3D Artist will create high-quality environments, objects and synthetic scenes used to train, test and evaluate advanced AI, machine vision and autonomous systems.This role would suit an experienced 3D Artist from synthetic data, games, simulation, VFX or virtual production who wants to apply ...

accuracy. Changing robotics forever. This fundamentally different approach stems from years of scientific research and a series of breakthroughs in simulation, robotics and machine learning. It has already attracted significant backing from leading investors and now they are assembling a small team of exceptional engineers to help define what … Take ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing and robotics, building the platforms that enable cutting edge research to become production-ready technology. You may need ...

Systematic Active Equity team in London. You will help shape the next generation of alpha by conducting cutting-edge research across financial markets, machine learning, artificial intelligence, data science and economics. Innovation is at the heart of our investment process. Working alongside experienced quantitative researchers and portfolio managers … alpha will be discovered through data, technology and creative thinking. Researchers are encouraged to challenge established approaches, experiment with new ideas , and explore emerging machine learning and AI techniques where they can enhance the investment process and create value for clients. Our open and collaborative environment provides exceptional ...

companies.Establish and lead governance frameworks that ensure the highest value network and AI initiatives are identified, prioritised and implemented.Lead the integration of AI and machine learning into network planning, operations, optimisation and maintenance.Identify, assess and scale AI use cases that improve network performance, incident response, capacity planning … strong partnerships across operating companies and central teams to promote consistent standards and ways of working.We tend to look for people withEssentialExperience applying AI, machine learning or AIOps within network planning, engineering or operations in a telecommunications environment.Strong knowledge of network architecture, including 5G standalone, radio access networks ...

prompt engineering to building intuitive user interfaces for business users. You’ll lead the architecture, design and deployment of scalable Generative AI and machine learning systems into production, integrating and optimizing LLMs for planning use cases and developing APIs for platform integrations. #J-18808-Ljbffr ...

domain. A generalist mindset with the willingness to work across product, design, and AI boundaries. Experience building modern agentic systems or reasoning through complex ML products. A track record of working on products generating £millions in ARR with high growth. Rapid career progression - such as moving from junior to senior … office. A cycle-to-work scheme and flexible working hours. Reasons We Might Not Be For You We don't have established machine learning infrastructure or a polished corporate playbook - so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating. ...

machine‐learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward‐deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering ...

lead governance frameworks that ensure the highest value network and AI initiatives are identified, prioritised and implemented. Lead the integration of AI and machine learning into network planning, operations, optimisation and maintenance. Identify, assess and scale AI use cases that improve network performance, incident response, capacity planning … partnerships across operating companies and central teams to promote consistent standards and ways of working. We tend to look for people withEssentialExperience applying AI, machine learning or AIOps within network planning, engineering or operations in a telecommunications environment. Strong knowledge of network architecture, including 5G standalone, radio access ...