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Senior Applied AI Solutions Engineer. Senior Applied AI Solutions Engineer.

Software Engineer / Front End Developer (TypeScript React Native AI) London / WFH to £65k.Want to work on intellectually and technically challenging AI systems at the cutting edge of what is possible, whilst learning and collaborating with an amazing team and enjoying flexible working and a range o

Senior/Principal Flood Risk Engineer London (fully remote) Up to £75k DOE plus benefits Our client is seeking a flood risk engineer to join their team based in London, who are at the forefront of translating AI into real world capabilities in the planning and engineering sector. Their work

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP).

A leading Central Government Institution are seeking a Lead AI Engineer, with the opportunity to help shape and lead a cross-government AI product. Lead AI Engineer - SC Cleared - Contract - Remote. You will assume the AI leadership, from a development perspective, to work on an experimental piece,

Microsoft Power Platform / Agentic AI Engineer. They are seeking a Microsoft Power Platform / Agentic AI Engineer to work with them on a contract. The responsibilities of a Microsoft Power Platform / Agentic AI Engineer will include:.

Solid understanding of Snowflake Administration / Snowflake Networking / Snowflake Identity processes / Snowflake AI (Cortex) / Snowflake Container Services. We are currently working with a client who urgently require a Snowflake Engineer with Snowflake expertise as well as excellent Database, DevOp

Software Engineer - London (Onsite, 5 Days per Week).We are representing a specialist SME consultancy partnered with a leading AI and technology firm, delivering mission-critical solutions to the UK Defence and Intelligence community.This is a unique opportunity to work on a.The role is language-agn

Data Engineer - Up to £75,000 - (London).Are you a data engineer who thrives at the intersection of technology and impact? A fast-growing startup is seeking a Data Engineer to join their elite team.This is a unique opportunity to work directly with global industrial leaders, embedding powerful AI-

Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Lead Machine Learning Engineer.

Produce and maintain technical documen. Design, build, and deploy AI copilots and intelligent automation solutions using Azure AI Services, Copilot Studio, and Power Platform. Develop, test, and refine natural language and generative AI applications leveraging Azure OpenAI Service and GPT models.

The Senior Product Engineer will be at the heart of this, working alongside the Data Director and the Innovation Labs Data Scientist. Youll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agentsbringing Serve Legals data and insights t

Looking for a MLOps Engineer to design, develop and implement AI and ML applications. Azure AI Engineer, Azure ML, Python.

Were looking for a Principal AI Engineer who combines deep technical expertise with the ability to set direction, influence stakeholders, and shape the future of AI engineering across the enterprise. As a Principal AI Engineer, you will serve as both a hands-on technical leader and a strategic partn

Job Title: AI Engineer (Media). Leading Data Architecture, MarTech, AI & Automation, you will ensure that data flows seamlessly across the business and is harnessed effectively to drive client performance. You will also play a key role in exploring and embedding automation and AI technologies t

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Role Summary: We are seeking an experienced MLOps Engineer to join our team, focusing on the deployment, monitoring, and maintenance of machine learning models in production environments. This role does not involve model development or end-user support but is critical to ensuring the reliability and performance of our ML platforms. The successful candidate will also be responsible for managing API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab., • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow, • Interface directly with Domino Data Lab support to resolve model platform-related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments., • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production., • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation Automation & Tooling • Implement automation for deployment and monitoring tasks., • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming, • Strong experience with ML model deployment and production monitoring., • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance., • Proficiency in AWS services (like S3, RedShift etc), • Experience with Grafana for monitoring and alerting., • Good to have hands-on experience with Domino Data Lab platform., • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration., • Ability to communicate effectively with internal and external stakeholders., • Excellent troubleshooting and incident management skills

Senior Agentic AI Engineer Market Day Rate - Outside IR35 (Limited company/Umbrella) Min 6 months with strong potential to extend - Long term project/opportunity German Speaking Remote working TXP are recruiting for an accomplished German Speaking Agentic Engineer who can start with out client

Full Stack Software Engineers - Build the Future from Anywhere in the UK!.Ready to engineer solutions that matter?.Join a cutting-edge tech company where your work powers AI-driven platforms, cloud-native systems, and secure digital infrastructure across industries.Whether you're mid-level or senior

Data Engineer | Health Tech | London -. They're using AI to automatically extract, categorise, and reconcile data from these scattered sources, turning chaos into actionable insights in the healthcare sector.

Principal Embedded Software Engineer - AI & Robotics | £60,000-£70,000 | Hybrid (Central London) Are you an experienced Embedded Software Engineer with a passion for cutting-edge technology? Join a fast-growing, well-funded scale-up at the forefront of developing AI And Robotic Unmanned

AI components with data, compute, and frontend systems to create scalable, high-performance solutions. Collaborating closely with frontend engineers, data engineers, and.

Senior Data & ML Engineer 📍 London (Hybrid) or Cardiff/South West with travel 💰 £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and data ingestion systems that form the core of an AI-driven product suite used b

Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Stay current with the latest research and advanc

You’ll be the primary engineer on multiple projects, working directly with the founder to build and launch high-quality applications from scratch.

Develop and maintain custom connectors to enable seamless data flow, interacting between agents and external services. FDM is a global business and technology consultancy seeking an AI Integration Engineer to work for our client within the financial services sector. Our client is looking for a hands

A well-established business is looking for an accomplished Software Engineer with expert Python skills to join its organisation. Web, software, and AI-enabled technology are fundamental to the success of the business so you must have proven experience of developing great software in Python and an in

We are excited to partner with an AI start-up that combines 50+ years of AI, Automation, and enterprise transformation experience. Our client is building an AI workflow layer for complex, high-stakes processes for legal and compliance in the regulated services market. Our client is approaching their

Senior Software Engineer (AI Focus) - £80k-£135k + Benefits + Shares | London (Hybrid, 3 Days/Week). You don't need to be a productionising AI/LLM expert already, they'll teach that. Collaborate with AI specialists to deliver next-gen solutions.

Based in London this Hybrid opportunity (3 days per week) exists for to join an exciting new start up. This position is Hybrid and will focus on the development of disruptive technologies for HPC, AI / ML Technologies. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency in Algorithm Software Development utilising Python, C++ or C#, along with: • Experience in Metaheuristic optimisation, • Experience with AI/ML Techniques, • Exposure to cloud-based data pipelines for large-scale test data processing for Data Centres. The successful candidate could be straight out of a PhD or someone with extensive experience, there is a very wide salary band on offer for this, so please do apply if you have any experience in Metaheuristic optimisation. The company offers excellent benefits, share options, flexible working and a bonus. Please apply for more information.

Get the future you want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: • Design and implement scalable data models and transformation pipelines using DBT on Snowflake., • Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks., • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions., • Optimize Snowflake performance through query tuning, clustering, and resource management., • Ensure data quality, integrity, and governance through testing, documentation, and monitoring., • Participate in code reviews, architecture discussions, and continuous improvement initiatives., • Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: • 5+ years of experience in data engineering or a related field., • Strong hands-on experience with DBT (modular SQL development, testing, documentation)., • Proficiency in Snowflake (data warehousing, performance tuning, security)., • Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages., • Solid understanding of data modeling concepts (star/snowflake schemas, normalization)., • Experience with version control systems (e.g., Git) and CI/CD practices., • Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with If you are interested in this role and for immediate consideration, please can you send me your CV ASAP

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact. Key Responsibilities • Develop, train, and optimize machine learning models for production use., • Collaborate with data scientists to turn research prototypes into production-grade solutions., • Build robust data pipelines and feature engineering workflows., • Deploy ML solutions into cloud environments (AWS, GCP, or Azure)., • Implement monitoring, testing, and model performance evaluation frameworks., • Work with engineering teams to ensure seamless integration of ML models into products. Essential: • Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn)., • Proven experience in developing and deploying machine learning models in production., • Solid understanding of data structures, algorithms, and software engineering principles., • Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow)., • Proficiency in working with cloud services (AWS, GCP, or Azure)., • Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes)., • Experience with NLP, computer vision, or time-series forecasting., • Familiarity with distributed computing frameworks (Spark, Ray)., • Experience with MLOps and model governance practices., • Duration: 6–12 months (extension possible), • Location: London (Hybrid working model), • Day Rate: Competitive, depending on experience

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement, combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities • Design, build, and deploy machine learning models and AI-driven solutions to address business challenges., • Collaborate with data scientists to transition prototypes into production-ready systems., • Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment., • Optimise model performance, scalability, and reliability using MLOps best practices., • Work with large-scale structured and unstructured datasets for model training and validation., • Implement model monitoring, versioning, and retraining processes to ensure continuous improvement., • Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments., • Proven experience (3–5+ years) as a Machine Learning Engineer, Data Scientist, or similar role., • Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy)., • Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures., • Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms., • Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration., • Knowledge of containerization and orchestration tools (Docker, Kubernetes)., • Experience integrating ML models into production environments via APIs or microservices., • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field., • Familiarity with CI/CD pipelines for ML model deployment., • Exposure to natural language processing (NLP), computer vision, or reinforcement learning projects., • Location: Hybrid – London (onsite 2–3 days per week), • Type: Day-rate contract (Outside/Inside IR35 subject to assessment), • Duration: 6–12 months (extension likely), • Work with a talented, cross-functional AI and data engineering team., • Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment., • Hybrid flexibility with a strong London presence.

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Boston Consulting Group is an Equal Opportunity Employer. BCG delivers solutions through leading-edge management consulting along with technology

Database EngineerShape the Future of Scalable Data Infrastructure in a Fast-Growing AI CompanyWe’re looking for a Database Engineer with deep PostgreSQL expertise to lead the evolution of a cloud-native database infrastructure. Champion database best practices, mentor teams, and standardize toolin

AI Software Engineer | UK (Remote) | Up to £70K (Pro Rata) & Great Benefits.Are you passionate about using artificial intelligence to make a real-world impact?.Our client is seeking an ambitious.AI solutions for some of the worlds leading organisations.In this exciting role, youll play a key part i

Bias, fairness, and explain ability metrics for LLMs. Strong expertise in AI safety tools (e. Responsible AI Toolbox, Deepchecks).

My client within Investment Banking are looking for a AI Agentic Engineer to join their team. The role will be working within their Innovation and Architecture team focusing on building enterprise grade AI solutions using Microsoft's low-code ecosystem. Proficiency in Microsoft Graph API, Azure Open

AI (artificial intelligence) Test Automation Engineer. Brilliant new opportunity for a AI Test Automation Engineer with expertise in Test automation frameworks to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in clas

Strong understanding of AI technologies & generative AI. Legal Technology Engineer - AI Focus - London. Legal Technology Engineer with a strong background in AI technologies, while working with legal technology is required to join a dynamic legal innovation team in central London.

Solutions Engineer / AI Engineer / LLM Engineer. Keywords: Solutions Engineer, AI Engineer, AI Consultant, Generative AI, Python, Azure, LangChain, LLMs, Hybrid London. Solutions Engineer - Generative AI | Hybrid (London) | Up to £85,000.

AI Security & Compliance Engineer. They are seeking an AI Security & Compliance Engineer to work with them on a contract. The responsibilities of an AI Security & Compliance Engineer will include:.

Front End Developer / Engineer (TypeScript React Native AI) London / WFH to £65k. You could be progressing your career as a Front End Developer at a well-established AI company acting as tech incubator within the World Economic Forum to tackle issues like climate change, AI, battery technology and

This role presents an exciting opportunity for someone with a Cloud Engineering / Cloud Support background to transition to an exciting AI team. They’re looking to hire a Cloud Engineer to join their growing Cloud Operations & AI Enablement team on a permanent basis. Synapri are supporting an

AI/ML Engineer - Hardcore Build Role.Building the AI platform that powers insurance claims, helping people get support at life's most critical moments.Forget the slow, broken way claims are handled today.By blending AI, with specialist expertise to deliver fast, accurate, 5-star experiences.It's a h

Devonshire Hayes have partnered with a fantastic organisation to help them secure a Senior Azure AI Engineer - Security Cleared for an initial contract up until the end March 2026 (extensions likely). LEAD) * Understanding of data science concepts, AI / ML models, automation workflows, and agenti

Morgan Hunt are working with a public sector client on two separate AI engineer roles. Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities

This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Senior ML Infrastructure Engineer. Were working with a well-funded AI start-up in London thats gearing up for huge growth.

ML & Cloud Infrastructure Engineer - Pioneering AI in 3D.London (1-2 Days per week in Office).Up to £200,000 (Potentially more) + Equity.I'm working with a cutting-edge startup that's building a.AI, computer vision, and spatial computing.Their mission is bold: to transform industries like robot