1,001 to 1,025 of 1,174 Machine Learning Jobs

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls. Demonstrated ability to benchmark … communication skills, including senior-level engagement. Commercial awareness and a value-driven mindset. Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

data platforms and cloud-based solutions. Contribute to CI/CD practices for data engineering and platform deployment. Enable the integration of AI/ML capabilities to enhance data-driven outcomes. Required Skills & Experience Strong hands-on experience with Azure Data Factory and Azure Databricks . Advanced proficiency … knowledge of Azure cloud services within a data engineering context. Experience implementing and managing CI/CD pipelines . Familiarity with integrating AI/ML workflows into data platforms. Strong problem-solving skills and ability to work in complex data environments. Preferred Qualifications Experience leading or mentoring data engineering teams. ...

including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases ...

Server and other upstream sources. 🐟Develop and optimise Delta tables, workflows, and jobs within the Databricks lakehouse. 🪈Support the development and productionisation of ML feature pipelines in collaboration with the analytics team. 🚿Ensure pipelines are well-tested, monitored, and documented. 🧘🏻Mentor and support junior and mid-level engineers through code … with Azure cloud services. Demonstrable ability to mentor and upskill less experienced engineers. Desirable: Experience with SQL Server and hybrid architectures. Desirable: Exposure to ML feature engineering or feature store development. Desirable: Experience in financial services or a regulated environment. Desirable: Familiarity with data governance practices and tooling. The interview ...

execute the AI product strategy aligned with business goals and regulatory requirements in wealth management. Identify high-impact use cases for AI/ML, such as portfolio optimization, personalized client insights, risk profiling, and automation of advisory workflows. Collaborate cross-functionally with engineering, data science, compliance, UX, and commercial teams … Required Experience & Skills: 4–7+ years of product management experience, ideally within fintech, wealth management, or financial services platforms. Strong understanding of AI/ML concepts and experience working with data science teams. Familiarity with investment products, portfolio management, and client advisory processes. Proven track record of launching data-driven ...

POWER BI DEVELOPER Up to £50,000 | Leicester (Hybrid) | Finance Team THE COMPANY A leading UK organisation investing heavily in modern analytics and building gold standard data infrastructure. Operating at scale with sophisticated finance operations ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning . … NeurIPS, ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply ...

focused on helping clients eliminate wasteful and fraudulent ad traffic. The Role We are looking for an experienced Data Scientist with strong ML expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You'll work with large-scale data, design production-ready ML systems … collaborate closely with engineering to keep models performant and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights into product features Ensure compliance ...

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office click apply ...

//app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ The company is seeking an AI/ML Engineer to own and evolve the intelligence layer behind Lily. The role works across LLM orchestration, prompt engineering, agentic AI systems, model evaluation, and data … pipelines to make the AI co-pilot faster, safer, and more autonomous. This is a hands-on, high-ownership role where the AI/ML Engineer’s work directly shapes the product experience for thousands of users as the company scales across the US market. What You’ll Do Design ...

//app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ The company is seeking an AI/ML Engineer to own and evolve the intelligence layer behind Lily. The role works across LLM orchestration, prompt engineering, agentic AI systems, model evaluation, and data … pipelines to make the AI co-pilot faster, safer, and more autonomous. This is a hands-on, high-ownership role where the AI/ML Engineer’s work directly shapes the product experience for thousands of users as the company scales across the US market. What You’ll Do Design ...

fast-paced, evolving environments. Desirable Proficiency in SQL for data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions … system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

professional services teams to accelerate adoption. Define and articulate the vision for next-generation computing architectures that fuse HPC, Quantum Computing, AI/ML, and other emerging technologies, and position AWS as the leader in this space. Work directly with customers to understand their advanced computing needs, sell … Experience with or working knowledge of quantum computing concepts, platforms, or frameworks (e.g., AWS Braket, Qiskit, Cirq, or similar). - Experience with AI/ML workloads in the context of HPC or scientific computing (e.g., AI-driven simulation, ML-accelerated modeling). - Track record of thought leadership through published papers ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

Django) TR Ref: CLDB/TR13616 Location: Fully Remote but must be UK based . Our client has a powerful, data-driven, AI/ML platform that's transforming the way businesses connect with their customers and partners. Enjoying stellar growth, they’re now on track double revenue … entire industry. Rapid Growth . They are scaling rapidly, so this is an exciting time to join Cutting-edge challenges inc AI/ML, working with large datasets, third-party integrations and scalable, high-performance architecture Flexible remote working with only occasional meetups Continuous learning – encouraged to experiment with ...

experience with at least 1 year working hands-on with large language models to solve complex problems Strong foundation in both AI/ML concepts and backend engineering principles Experience working in fast-paced environments where requirements evolve rapidly Technical Skills LLM & Agent Development: Hands-on experience building applications with … agentic workflows Backend Engineering: Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks: Experience with frameworks for building AI/LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain) Data & Storage Systems: Comfortable with databases (PostgreSQL, MySQL), vector databases ...

experience with at least 1 year working hands-on with large language models to solve complex problems Strong foundation in both AI/ML concepts and backend engineering principles Experience working in fast-paced environments where requirements evolve rapidly Technical Skills LLM & Agent Development: Hands-on experience building applications with … agentic workflows Backend Engineering: Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks: Experience with frameworks for building AI/LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain) Data & Storage Systems: Comfortable with databases (PostgreSQL, MySQL), vector databases ...

NumPy, SciPy, Pandas, etc.) Experience working with hardware or lab-based systems (or similar environments) Experience with GUI development (or a strong interest in learning) Solid understanding of software development practices (version control, testing, documentation) Strong problem-solving ability and clear communication Nice … Have (Not Essential): MSc or PhD in a relevant field Experience building clean, intuitive user interfaces Knowledge of data analysis techniques (e.g. signal processing, ML, clustering, regression) Experience optimising or debugging scientific/technical code Previous start-up or industry experience Environment London-based life sciences start-up Collaborative, multidisciplinary ...

sales, consulting, AI product roles, or AI-focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend … gRPC Our Tech Stack Languages: Go Databases: MongoDB Messaging & Orchestration: Temporal, Kafka APIs: REST, gRPC, protobuf Infrastructure: Kubernetes, GCP Observability: Grafana stack AI/ML: LLMs (OpenAI, Gemini), RAG systems Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have ...