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We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

AI Engineer Reporting to: Transformation Director Location: Remote Contract Type: Full-time, Permanent Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring that AI is applied ethically, transparently, and effectively. Key Responsibilities • Design, build, and deploy AI and machine learning models tailored to justice technology and secure environments., • Collaborate with product, engineering, and domain experts to understand operational challenges and translate them into AI-driven solutions. -Predictive analytics for offender risk and rehabilitation progress. -Behavioural analytics (e.g., detecting self-harm risk via AIM). -Intelligent workflow automation for case management systems. • Develop and optimize robust data pipelines, ensuring privacy and compliance with strict security standards., • Continuously improve model accuracy, fairness, interpretability, and scalability., • Stay up to date with research and recommend innovations that align with Unlinks vision and the sensitive nature of justice services. Person Specification Must-Have: • Degree in Computer Science, AI, Data Science, or equivalent experience., • Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn., • Solid understanding of ML principles, algorithms, and their deployment in production., • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes)., • Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications., • Knowledge of ethics, bias mitigation, and fairness in AI., • Familiarity with justice technology, corrections, or secure IT systems., • Contributions to AI research or open-source projects.

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We’re supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual, data-heavy operational process that sits at the heart of large online businesses. The platform is already in use with several enterprise customers, and funding has been secured to scale engineering and deliver an AI-driven product roadmap. You’ll be joining very early, working with an experienced founding team who have previously built and scaled well-known tech companies. The next phase is product expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will architect and build production-grade AI features into the core platform. The role blends backend engineering, data processing, and practical AI/LLM deployment. Your work may include: • Designing AI-powered workflows for unstructured and semi-structured data, • Building intelligent document processing, matching and extraction, • Developing scalable pipelines and APIs in Python, • Working on retrieval, embeddings, and search, • Productionising LLM-driven features for real customers This is a hands-on engineering role with high ownership. You will collaborate directly with the CTO and founding engineers, and have real influence over architecture, model choice, tooling and product direction. Requirements for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Strong backend engineering experience (Python preferred), • Experience working with LLMs, NLP or applied machine learning in production, • Understanding of data pipelines, distributed systems or large-scale processing, • Cloud experience (AWS, GCP or Azure), • Comfortable in fast-paced, high-ownership environments, • Excellent communication and product mindset Experience in a startup or scale-up is a strong advantage, but not required if you can demonstrate ownership of end-to-end systems. What’s on Offer for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Up to £140,000+ salary + meaningful early-stage equity, • Hybrid working, East London office (3-4 days per week), • Chance to shape technical strategy and culture from day one, • Real-world AI problems with paying customers and immediate impact, • Long-term progression into Principal or Head of AI If you’re interested in the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate, apply today. If your background fits, we’ll reach out to discuss next steps.

Job Title: Software Engineer - Backend Contract Duration: 6 months with potential for extension Location: Remote - UK Job Description: This is a generalist mid-level backend position within the Ads Organization. Ads are the fuel that powers the client's mission. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: • You will work with the existing engineering team and help contribute to the direction of the project and team, • Collaborate with cross-functional teams to design, develop, and implement solutions, • Create and maintain APIs, rSpec testing suite, and middleware to facilitate data flow between systems, • Perform system analysis, troubleshooting, and debugging to identify and resolve integration issues, • Ensure compliance with security protocols and data privacy regulations during integration processes, • Troubleshoot and optimize application performance to provide optimal experience, • Ability to design maintainable database schemas and easy-to-understand data structures, • Ability to design technical solutions with little direction or guidance, • Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback, • Collaborate with product managers and designers to understand requirements and translate them into technical solutions, • Proactively identify and address potential technical issues and bottlenecks Required Qualifications: • 3+ years of software development experience in one or more general-purpose programming languages (Java, Scala, Go, C++, Python)., • Project Management: Support day-to-day project management tasks, including providing project updates and managing timelines., • Problem Solving in Ambiguity: Tackle ambiguous problems with creativity and resourcefulness. Define and iterate on solutions in the face of incomplete information., • Independent Drive: Proactively identify opportunities for improvement and drive initiatives forward with minimal supervision. Bonus Points: • Experience working in the Ads domain, • Experience or interest in the advertising business, and understanding customer needs, • Experience with prompt engineering, machine learning, or data science.

Full-Stack Engineer | AI Startup | London - £60k-£75k Location: London (onsite/hybrid) We’re partnering with a VC-backed AI startup that is transforming the way organizations gain visibility into complex data systems. By combining LLMs, machine learning, and cloud-native architecture, they are building a platform that makes data ecosystems transparent, intelligent, and compliant by design. They’re expanding their engineering team and are looking for one of their first hires — someone ready to shape the platform from the ground up. What You’ll Do • Build APIs and backend services in C# / .NET 8+, • Develop frontend experiences using Next.js and TypeScript, • Work in a modern Azure environment (Functions, Container Apps, Event Grid, Service Bus), • Influence architecture, performance, and developer experience decisions, • Collaborate in a DevOps-driven culture, shipping iteratively and continuously, • Experiment with AI to solve problems creatively Who You Are • 3+ years as a full-stack or backend engineer, • Strong in C#/.NET and Next.js / TypeScript, • Experienced with serverless or containerized applications (Azure experience is a plus), • Comfortable working with autonomy, ownership, and a fast-moving product, • Collaborative, communicative, and confident sharing your work, • Pragmatic with AI — you know when to use it and when to rely on your own judgment Why Join • Work on a mission-driven AI platform at an early-stage, VC-backed startup, • Significant impact and ownership from day one, • Fast-paced, hands-on environment where your work is seen and valued, • Collaborate with founders who care deeply about product quality and delivery, • Shape both product and engineering culture Venchr is an equal opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone.

Qualification The Solutions Architect role at Impetus is critical, as we design cutting-edge solutions for some of the biggest global enterprises. Our SAs drive customer success by aligning business goals with IT services, software products, platforms, and infrastructure. They are creative problem solvers who collaborate closely with clients to understand challenges and architect solutions that address them. In a rapidly evolving technology landscape filled with countless tools and platforms, SAs play a vital role in helping customers make the right technology choices, ensuring both immediate and long-term success. The Skills You’ll Need: • Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data., • Experience in BFSI Industry is required., • Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals, • Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP, • Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.), • Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads., • Knowledge of market insight, technology trends, and competitor intelligence, • Exceptional customer orientation and consultative Skills., • Excellent communication (verbal and written), interpersonal, organization, documentation, and presentation skills (to executive-level staff and to large groups), • Able to make decisions on technical and design tradeoffs to best meet customer’s needs., • Active passion and experience in innovative technologies., • Must be a self-starter, results oriented and flexible to adapt to ambiguities and changes., • Open to frequent travel to meet with customers and attend internal and external events across the Americas and Europe. Skills Required: Data Warehousing, ETL, Big Data, Presales, BFSI Role: At Impetus, you will operate at the intersection of business and engineering, engaging with engineers, managers, sales teams, and C-level executives—internally and on the client side—to create a shared understanding of business objectives and how the proposed solutions will achieve them. Your ability to bridge the gap between technical and strategic decision-making ensures that our solutions not only solve current challenges but also drive long-term growth and innovation. • Work closely with customers to understand their business needs and challenges, translating them into actionable solutions., • Lead onsite workshops with customers to design & develop prototypes in collaboration with engineering teams., • Develop overall solutions, including architecture, high-level design, statements of work, service design, and bills of materials., • Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor., • Develop use case demonstrations and proofs of concept in collaboration with sales, customers, and Impetus implementation teams., • Lead technical responses to RFI/RFP., • Create thought leadership through presenting at conferences, summits, and events, writing, user group presentations, and community involvement., • Stay abreast of technology developments relevant to Impetus and its competitors, the latest advancements in GenAI research, and industry trends, contributing to the company's GenAI strategy., • Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.

Data Science Lead Role : Permanent Location : London Experience : 12 to 18 years Job Requirements: • 12 years of experience manipulating data sets and building statistical and machine learning models., • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field • Fluent English (written/spoken) • Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Experience Developing Machine Learning / Data Science models, from coding to deployment, • 2+ years of experience in teaching or training., • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++), • Project Management background preferred., • Knowledge of the Consulting/Sales structure., • Empathy and service attitude, • Fast-paced, • Project Management experience, • Desirable previous international experience (US, Canada, or Europe), • Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position • Collecting data through means such as analyzing business results or by setting up and managing new studies, • Transferring data into a new format to make it more appropriate for analysis, • Build tools to automate data collection, • Compare and analyze provided statistical information to identify patterns, relationships, and problems, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Refer to previous instances and findings to determine the ideal method for gathering data, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision, • Python and SQL coding skills are indispensable, • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform, • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc., • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus, • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets, • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc., • Ability to compile and organize statistical information retrieved and present findings to management, • Faculty to work toward multiple deadlines simultaneously, • Strong problem-solving skills with an emphasis on product development., • Certification in a Cloud-Based/Machine Learning service desirable, • Seniority Level, • Not Applicable, • Industry, • Software Development, • Engineering Services, • Information Services, • Employment Type, • Full-time, • Job Functions, • Information Technology, • Engineering, • Skills, • Computer Vision, • Machine Learning, • Natural Language Processing (NLP), • Python (Programming Language), • Deep Learning, • Artificial Intelligence (AI), • Data Science, • Cloud

🌍 Software Engineer | Energy, EVs | London (Hybrid) A fast-growing energy tech startup on a mission to make clean energy the default. They’re building technology that actively balances the energy grid by shifting usage to cleaner, cheaper times - across EVs, home batteries, and heating systems using data and machine learning. Backed by top-tier investors, they’re scaling quickly and laying the technical foundation for a smarter, low-carbon energy system. • Working with the brightest minds (ex Uber, Microsoft, AWS, Meta, YC, Oxbridge & Berkley alumni), • Excellent ARR with great traction & ambitious plans to expand internationally after becoming a top UK supplier, • High autonomy, real responsibility, and room to move fast, • Direct influence on both product and engineering culture 🚀 What they value • Strong commercial instinct & proven value add throughout your experience, • Passion to learn & problem solve, • Strong OOP background- Python, GCP, React is the core stack (open to all OOP languages) 📍 London (Hybrid – 2–3 days onsite) If you want to build tech that truly matters, apply now.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Global High-Tech Talent Connect 🌐 Join Our Talent Pool for Career Opportunities in Korea’s High-Tech Industries! As a government agency supported by the South Korean government, KOTRA London is working to connect talented professionals in the UK with leading companies in South Korea. We focus on high-tech industries, including Semiconductor, Display, Secondary Battery, Bio, Robotics, Defence, AI, and Advanced Mobility. From current students to professionals with years of industry experience, we are looking for talent in these high-growth sectors who are interested in exploring career opportunities in South Korea. Once you complete your application, we will keep your details in our database and share them with companies when a suitable role arises. Eligibility & Requirements • Students/professionals who have studied/worked in the UK, • Engineering or Sciences related fields (E.g., Electrical/Electronic Engineering, Mechanical Engineering, Chemical Engineering, Computer Science/Engineering, Artificial Intelligence/Machine Learning, Biology, Biomedical Engineering, Aerospace Engineering, etc.), • Korean language skills preferred (but not required), • Willingness to relocate to Korea is essential Should you have any further queries, please do not hesitate to reach out. For more information about KOTRA's Global Talent Center and what we do, please visit the following page:

Senior AI Engineer Fully Remote - UK based only. £70,000 to £80,000 + Bonus + Private Health Care - Permanent Position Do you want to have the chance to take ownership of a growing AI function and influence both the technical direction and long-term capability of a team? You will join at a point where the foundations are still being shaped, which gives you space to design systems, introduce standards and lead key decisions. You will also mentor junior engineers who are already in place, giving you a clear leadership path. The work involves varied challenges across research, applied engineering and production deployment, with an environment that supports autonomy and technical depth. Our client builds data-driven products that rely on large volumes of text-based information. They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. You will work across research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities • Design and develop NLP and LLM-based systems for internal products and workflows., • Evaluate new models, techniques and approaches, recommending what should be adopted., • Fine-tune and adapt foundation models using domain-specific datasets., • Carry out analysis to understand model behaviour, drift and explainability., • Build and maintain tools for evaluation, prompt testing and dataset preparation., • Work with the MLOps engineer to deploy, monitor and retrain models in production., • Support CI/CD processes for AI, including version control, reproducibility and rollback workflows., • Provide mentorship and guidance to junior engineers., • Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience • Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment., • Deep knowledge of RAG, • Experience processing high volumens of documentation/text, • Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents)., • Experience conducting applied research and converting experimental outcomes into production systems., • Familiarity with retraining workflows and performance monitoring., • Understanding of explainability and fairness techniques., • Hands-on experience with containerisation and orchestration (Docker/Kubernetes)., • Understanding of MLOps practices, CI/CD and model registry processes., • Experience mentoring or guiding junior engineers or leading technical initiatives. Nice to Have • Experience working with sensitive or regulated data (not essential)., • Experience with graph-based retrieval., • Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing long-term technical decisions. Over time, this may evolve into broader leadership responsibilities as the team expands. The role suits someone who wants a balance of hands-on engineering, technical ownership and mentoring.

In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding.

Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. Machine Learning Operations Engineer.

We're looking for a Senior Machine Learning Engineer to help design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabil

Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, pa

Key ResponsibilitiesThis opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. Location: Oxford, Oxfordshire, South East, UKWe are looking for an excell

React Demonstrated track record of building robust, scalable fullstack applications Understanding of cloud infrastructure (AWS, Azure, or GCP) and CI/CD pipelines Agile team experience with the ability to communicate technical decisions clearly Any exposure to AI or machine learning technologie

Stats Perform is the market leader in sports tech.We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings

The role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented ML Ops Engineer to join our growing teams. Required Skills & Experience Proven experience in MLOps or DevOps

An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in

AIML, Machine Learning & Data Science.Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation.AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas).

DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. DXC Technology is recognized among the best corporate citizens globally. Created by the merger of CSC and the Enterprise Services busines

GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. AI, Machine Learning, Solution Architecture. Ideal for senior data consultants, data architects, or pre-sales experts, t

On our Data Science & AI Industrial Placement, you wont be on the sidelines watching the algorithms run the show. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Opening and C

As Head of Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. Define, implement, and scale the software architecture across web, backend, and ML systems.

We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team.

Principal Data Scientist & Machine Learning Researcher.

Direct message the job poster from La Fosse.Data Science, AI & Machine Learning Consultant at La Fosse.I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company.This role offer

We are currently recruiting a Machine Learning Engineer to join a global publishing company. Champion Machine Learning across the business.

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI). Machine Learning Scientists and Engineers: AI for Quantum. Senior Machine Learning Scientist - Search.

You have strengths in* + Numbers, Data, and Logic### Your Skills* + AI engineer## Co Founder Wanted For Music AI Start Up#### Co Founder Wanted For Music AI Start Up Job description as PDF #J-18808-Ljbffr. Label-In-A-BoxLearn morePrototype·1Team-Members·AI & Machine Learning---### Overview* (Co-)F

A technology consultancy in London is seeking a Head of Data Science to lead their Data Science, Machine Learning & Advanced Analytics capability.

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?.G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.We are proud to employ some of the best people in their field and to nurture their talent i

A leading FinTech company in London is seeking a Head of Data Science to work hands-on with a growing team. Strong skills in machine learning and data analytics are essential, along with experience in collaborative team environments.

An established industry player is seeking a Senior Data Scientist to join their dynamic Data Science team.In this pivotal role, you will leverage your expertise in machine learning and statistical methods to develop innovative solutions that drive business performance.Collaborating with a diverse gr

Ambitious engineers keen to work on bleeding-edge speech recognition and representational learning. Speech Intelligence, using AI and Machine Learning to unlock business value in human speech worldwide. Job function: Engineering and Information Technology.

Building Data Science, Machine Learning and AI Teams | 15,000+ Connections | 80+ Recommendations.

Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Data Scientist - Acquisition Technology. By embedding engineers, product managers, designers, and data scientists together, the team acts as a sel

Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing

Lead Engineer - Python (UK Remote). Initially work as a senior engineer in an existing squad to familiarize yourself with our tech stack and engineering environment. Since establishing in 2012, we have been spearheading the use of Machine Learning and Advanced Statistical algorithms to determine the

Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new

Machine Learning Engineer/Senior Machine Learning Engineer Location:. The team is expanding and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows.

As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. In this role, you’ll work closely with our customers, as well as our team of Simulation Engineers, Data

A leading analytics software company in Hounslow is seeking a Machine Learning Engineer.

The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. Define and champion the technical vision for our professional and financial services clients. Collaborate with the Business Unit Direct

One of Europe’s most exciting Analytics software companies is looking to hire a Machine Learning Engineer. You will join a hugely talented team of Machine Learning Engineers, and an employer committed to Employee wellbeing. Apply now to the Machine Learning Engineer role by clicking on the link an

A global technology leader is seeking a Principal Data Scientist to drive innovation in AI across multiple products.This role involves leading AI feature development, collaborating with product teams, and shaping the company's AI strategy.Ideal candidates should have 8+ years in machine learning, st

Evaluate and select AI vendors through hands-on technical assessment and ROI analysis. Deep understanding of ML workflows—from data pipelines and feature engineering to model training and deployment. Senior Product Manager - Machine Learning and AI.