2,026 to 2,050 of 6,393 Machine Learning Jobs in the UK

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

Fractional CTO, you'll be instrumental in developing our product as we scale, with a focus on building and shipping AI/ML-driven features. About You This Is A Great Fit If You Want To Work... In an early stage company where you'll have the opportunity to build … visas at this time) It Would Be Nice (But Not Necessary) If You Also Had Experience With 3-5+ years in AI/ML engineering with a track record of deploying AI into production at scale. What Role Involves Key Responsibilities: Develop and deploy high-quality features ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology … training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands ...

software products or applications. Knowledge of modern software engineering practices, including testing, version control and continuous integration. Experience or strong interest in AI technologies, machine learning, LLMs, RAG solutions or intelligent automation. Strong problem-solving skills with the ability to work through complex technical challenges. Excellent communication … options, including compressed fortnight arrangements where applicable Private healthcare Cash health plan Annual performance bonus opportunities Holiday buy and sell scheme Career development and learning programmes Professional accreditation support Pension scheme Employee assistance programme Inclusive employee networks and communities Why Join Us? A Mission to Believe In Every ...

guide teams through adopting new practices and ways of working.## ## **What Makes You Unique:*** **AI Subject Matter Expertise:** Direct experience implementing generative AI, machine learning, or automated workflow tools within a CPG marketing function or digital agency.* **CPG & Premium Brand Stewardship:** Marketing experience within a large multinational … consumer packaged goods (CPG), spirits, or premium lifestyle brand environment.* **Curiosity & Innovation:** Champions a culture of curiosity, rapid experimentation, continuous learning, and responsible experimentation #LI #J-18808-Ljbffr ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

contribute to the development of software to streamline daily processes and assist front office with system trading, using a variety of techniques including machine learning and artificial intelligence. Alongside the automation elements, you will also be responsible for the daily analysis of the trading activities (PnL and position ...

Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with ...

learn new things.**It is also considered a bonus if you have:*** Understanding of service-oriented architectures and building cloud-based products.* Experience with Machine Learning, Computer Vision, AI technologies.* We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously … scheme.* Employee stock purchase plan.* Flexible working options.* Private medical care.* Life assurance.* Enhanced maternity and paternity pay.* Career development support and wide ranging learning opportunities.* Employee health and wellbeing support EAP, wellbeing guidance etc.* Carbon neutral initiatives/goals.* Corporate social responsibility initiatives including support for volunteering days. ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such as AWS, MS AzureContainerisation e.g. Docker ...

advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Build a customer service … application that handles thousands of questions a day Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements: A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics ...

such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern ...

managing engineers in a fast-paced, high-growth environmentExcellent communication skills in English. Nice to Have'sFluency in additional European languagesExperience with AI/ML infrastructureBackground in enterprise security and compliance. What We OfferRemote-flexible work from anywhere in EMEA6 weeks of paid vacationEquity/stock optionsCompetitive salaryCo-working stipendAnnual … learning allowance ($2,000)Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

onboarding for quantitative products. Familiarity with credit research workflows and how portfolio managers, analysts and risk teams consume analytic output. Experience with cloud native machine learning platforms and with production monitoring of model performance and drift. Why Choose Fitch: Hybrid Work Environment: 3 days a week in office … required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower ...

large datasets. Nice-to-Haves Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines. AWS experience (Azure or GCP equally welcome). Machine Learning experience, particularly applied to geospatial or time-series problems. Commodity trading exposure or understanding of how maritime data drives commodity markets. Containerization— Docker ...

understanding of device intelligence or related domain: device fingerprinting, network traffic analysis, or protocol-level identification. Ability to define product requirements for AI/ML systems, including LLM-assisted workflows, clustering algorithms, automated labeling, and model lifecycle management. Networking and IoT protocol literacy: Wi-Fi 802.11ax/… such as Jira and Confluence. Fluency in English (spoken and written). What Will Make You Stand Out: A genuine curiosity about AI/ML and emerging networking technologies – you actively explore what’s next rather than wait for direction. Data-driven mindset: you ground decisions in evidence and customer ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Knowledge of Enterprise Architecture frameworks such as TOGAF. Experience producing architecture documentation, standards and governance. Strong ...

runbook quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

cross-functional collaboration. Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement. Qualifications A proven track record as an Engineering Manager of growing and building high-performing engineers, teams, and processes. Experience … individual contributor or leader in the Search Domain. Worked closely with Machine Learning and Data Science colleagues. Worked closely in tandem with Design and Product, as either a Product Engineer in the past, or Engineering Manager, to build rich user experiences. You can work across the full-stack ...