43 jobs found

Our client is a forward-thinking technology company at the cutting edge of AI and machine learning. They are looking for a talented Machine Learning Engineer to join their growing team and help shape the future of intelligent systems. The Role As a Machine Learning Engineer, you will: Design, build, and deploy production-grade machine learning solutions. Work on innovative projects involving large language models and generative AI at scale. Collaborate with cross-functional teams to deliver robust, high-performance systems. Key Requirements Degree in Computer Science, Mathematics, or a related discipline. Minimum 3 years of experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What's on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary and benefits package.

Our client is a forward-thinking technology company at the cutting edge of AI and machine learning. They are looking for a talented Lead Machine Learning Engineer to join their growing team and help shape the future of intelligent systems. The Role As Lead ML Engineer, you will: Lead and mentor a team of software engineers. Design, build, and deploy production-grade machine learning solutions. Work on innovative projects involving large language models and generative AI at scale. Collaborate with cross-functional teams to deliver robust, high-performance systems. Key Requirements Degree in Computer Science, Mathematics, or a related discipline. Minimum 3 years of experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What's on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary and benefits package.

7+ years in a DevOps pre-sales engineering role Presales within a software development services company This role is ONLY for people with a long tenure as a DevOps Sales Engineer PRESALES DevOps Engineer, LONDON based Salary: up to £160,000 (80/20 split base and commission)Hybrid - 3 days/week in LONDON office (Kings Cross area)This is NOT a back-office DevOps role. You MUST have clear evidence on your CV showing me where you have been front and centre in the sales process - a trusted technical advisor within the sales team, helping to drive growth. Job Description: We are looking for a PRESALES DevOps Engineer for our client, a market leader in software development services in DevOps, DevSecOps, and MLOps.This is a company trusted by most of the Fortune 100 to secure and accelerate their software delivery from code to production. You'll partner with strategic prospects and customers, shaping their DevOps vision and driving technical wins. To be considered, you MUST Have: 7+ years in a DevOps presales engineering role Proven track record helping to build enterprise relationships from tech champions to C-level in a clear cut client-facing presales role working with the sales team Cloud infrastructure fluency (AWS, Azure or GCP) Hands-on experience with Docker, Kubernetes, CI/CD, Git, build tools Solid AppSec experience with SCA, SAST, SBOM, Container Security Ability to build full DevOps pipelines If you originally started in a software development role, then even better. Your Role: Working with the sales team, you will guide prospects through their DevOps/DevSecOps journey Deliver knockout demos and drive technical wins alongside the sales team Represent the company at industry events and conferences Train customers and community members on product capabilities Feed frontline insights back to the company to shape the product roadmap Stay ahead of DevOps & MLOps trends and bring that expertise to every customer conversation IND123

Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.

Head of AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a Head of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This Head of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this Head of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the Head of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.

MLOps Engineer Outside IR35 - 500-600 Per Day Ideally, 1 day per week/fortnight in the office, flexibility for remote work for the right candidate. A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability. This role suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices. What you'll be doing: MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards into the core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/CD / release pipelines. Data Fundamentals: Excellent SQL skills. Nice-to-Have/Desirable Skills DevOps/CICD (Pipeline experience) GCP (Familiarity with Google Cloud Platform) Data Science (Good understanding of math/model fundamentals for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details.

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly skilled and specialized Generative AI Engineer to join a critical 6-month project focused on implementing advanced AI solutions within the commercial banking sector. This role requires specialized knowledge and expertise not currently available in-house to rapidly design, prototype, and deploy cutting-edge Generative AI models. The Role: Gen AI Engineer As a Generative AI Engineer, you will be a key specialist focused on the end-to-end lifecycle of generative AI models and algorithms. You will work closely with architects and business stakeholders to turn complex banking requirements into practical, scalable, and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy state-of-the-art Generative AI models (e.g., LLMs, Transformers, Diffusion models ) tailored for enterprise use cases. Application Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores using back-end languages like Python , Java, or Node.js. Architecture & Strategy: Collaborate with technical architects to define scalable, secure, and cost-effective AI service architectures. Agile Delivery: Support POCs, pilots, and full-scale implementations using an agile delivery approach, consistently documenting designs and results for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization). Data Engineering for Generative AI: Experience in preparing and curating diverse training datasets (structured/unstructured text, images, code). Deep knowledge of data preprocessing, tokenization, and embedding generation techniques. Hands-on experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Stakeholder & Strategic Partnership: Ability to partner effectively with business stakeholders to identify, shape, and prioritize high-impact AI use cases. Experience contributing to a strategic AI adoption roadmap and developing reusable AI Workbench/platform components. Screening and Compliance The successful contractor will be required to undergo a Standard Background Check (BGC) and must successfully pass a required Level 4 Pre-Employment Screening (PES) process. Required Checks: Criminal History Check (5 years), Employment Check (5 years), Education Check, and National ID Check (UK). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

VP - AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a VP of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this VP of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the VP of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

AI Strategist, Financial Services Inside IR35, £700-£800 per day 6-month contract for 3 days a week, 1 day in London. My client is a leading Financial Services business looking to hire an AI Strategist or AI consultant, on a 3 day a week assignment to drive a future roadmap for the businesses AI Strategy. The role will work with key executive stakeholders to challenge their current strategic approach, set out a future roadmap for AI that's feasible and supplying external, validated, knowledge into the Senior Leadership Team. Key Responsibilities: Help drive a business-led enterprise AI strategy Advise senior leaders on value-driven AI adoption and strategic direction. Align business functions (Marketing, Sales, Customer Service, etc.) to outcome-focused AI roadmaps. Assess and guide existing AI consulting and agent-development teams. Provide expert insight on GenAI platforms (Gemini, Copilot) and AI limitations. Ensure AI strategy is realistic, value-focused, and aligned to enterprise goals. Key Skills Proven experience developing enterprise-level AI strategies across large or complex organisations. Ideally background in Financial Services or another highly regulated industry (Banking, Insurance, Payments, FS consulting). Strong C-suite and Senior Leadership stakeholder management, with the ability to challenge thinking and influence direction. Hands-on understanding of GenAI platforms (e.g., Gemini, Microsoft Copilot, OpenAI, Anthropic) and their practical constraints. Experience building AI roadmaps that align business functions (Marketing, Sales, Customer Service, Operations, Digital, Risk). Knowledge of AI governance, risk, compliance, and responsible AI frameworks relevant to FS environments. Exposure to AI delivery teams, including MLOps, data engineering, AI consulting, or agent-development teams. Ability to translate complex technical capability into clear commercial value propositions. Comfortable assessing AI maturity, operating models, and organisational readiness. Strong analytical and strategic thinking, with a track record of shaping direction at executive level. Excellent communication, facilitation, and presentation skills.

Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Role: AI Lead Working Model: Permanent Location: Hybrid - London Salary: up to £100,000 Are you a hands-on AI Lead passionate about Generative AI, LLMs, and cloud deployments ? Do you enjoy designing, developing, and deploying AI-driven solutions that solve real business problems? This is an exciting opportunity to join a dynamic AI team and contribute to cutting-edge projects in Insurtech and Fintech . You'll work closely with cross-functional teams to build scalable AI applications, fine-tune LLMs, and integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable). Mentor and manage a team of engineers, fostering innovation, collaboration, and best practices . Translate business requirements into AI solutions and ensure responsible AI practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team leadership and client-facing experience Why Join? Work on high-impact AI projects with cutting-edge technology Fast-track your career with mentorship and growth opportunities Collaborate in an inclusive, innovative, and dynamic team Make a meaningful impact on global insurance markets Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Head of AI Salary: 100,000 - 150,000 + bonus Location: London/Hybrid Data Idols are partnering with a major UK brand undergoing a significant enterprise-wide transformation, placing AI at the centre of its long-term business and technology strategy. This is a pivotal, newly created leadership role with the remit to define, influence, and drive the organisation's entire AI agenda. The Opportunity As Head of AI, you will shape the strategic direction for how AI, including generative, agentic, and operational AI, is adopted, governed, and scaled across the organisation. You'll create and lead a high-impact AI function that brings together existing ML, AI Ops, and emerging AI capabilities under a clear, unified strategy. This role is about vision, influence, and enterprise-wide impact. You'll work closely with executive stakeholders to identify where AI can deliver meaningful commercial value, create competitive advantage, and transform customer and operational experiences. You will champion the responsible and strategic adoption of AI, ensuring cutting-edge technologies translate into measurable outcomes. While you'll have a strong technical grounding, this is not a hands-on research or engineering position. Instead, you'll provide strategic leadership, ensuring the right capabilities, standards, and governance structures are in place to successfully deliver AI at scale. Key Responsibilities Set the enterprise AI strategy, aligning AI capabilities with long-term business goals Build, lead, and inspire a new AI organisation, consolidating and uplifting existing teams Drive adoption of generative, agentic, and advanced operational AI across diverse business areas Influence senior stakeholders and guide the organisation on where and how AI can create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder engagement skills, able to operate confidently at senior levels Demonstrated ability to build new teams and uplift organisational capability If you are motivated by shaping the future of AI within a major organisation and leading an agenda with significant executive visibility and impact, please submit your CV for initial screening. Head of AI

Job Role: AI Engineer Working Model: Permanent Location: Hybrid - London Salary: Up to £80,000 + Benefits Are you a hands-on AI engineer looking to build, deploy, and optimize AI-driven solutions ? Do you want to work with Generative AI, LLMs, and cloud deployments in a collaborative, fast-moving environment? This is an exciting opportunity to join a growing AI team , contribute to cutting-edge projects, and develop your skills with mentorship from senior engineers. You'll work on AI-powered applications, RAG pipelines, and model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver high-quality AI solutions Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems Why Join? Work on high-impact AI projects with mentorship from senior engineers Develop skills in Generative AI, LLMs, and cloud deployments Be part of a dynamic, innovative, and inclusive team Contribute to real-world solutions in the insurance domain Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

IntaPeople are working exclusively with a well-known Welsh based client who due to internal growth require an experienced AI focussed Software Engineer to join their digital function in Wales. The Senior/Lead Engineer will be responsible for the designing, developing, and deploying AI capabilities across the organisation to ensure technologies deliver innovation, efficiency and value throughout the org. As part of the wider organisations digital function, you will work collaborate with other developers and the solutions delivery team to ensure the delivery of company wide data software projects are priority. With this being a large organisation, they re technology estate is fairly broad but we re looking to speak with candidate who have skills in areas such as; Technical skills; Strong programming skills in JavaScript, TypeScript and React Experience with AI/ML frameworks (e.g. TensorFlow and PyTorch etc) A genuine interest in how AI can be used within the work place Ability to design and deliver AI solutions at scale Excellent diagnostic and problem-solving skills, seeking innovative solutions to complex problems A computer science or studies related degree Having knowledge or experience with MLOps , Cloud based services such as AWS, Azure and GCP would be highly desirable but not essential. Working with the wider software team, you will also be responsible for leading the end-tend development of AI model and system within the organisation. You will also collaborate closely with senior managers to provide expert technical knowledge and solutions to internal and external stakeholders. You will also mentor and coach your team members to ensure their professional development is at the forefront of the team which is monitored across the teams SLA s. We are realistically looking for an experienced Software Engineer who has some exposure and an interest in Artificial Intelligence (AI) and who wants to join their journey of making this emerging technology both reliable and ethical within the organisation. We ll be looking for the right cultural fit on this position also due to it being such a new role within the business. Whilst their based in Cardiff and the team work remote/hybrid, we are open to candidates who are living further afield within the UK (only) and who will work predominately remote with adhoc monthly visits to Cardiff City Centre. What you ll get in return (at a glance): A starting salary of between £51,200 - £59,860 depending on your experience A Local Government pension scheme (circa 30% employer contribution) 25 days annual leave plus an additional 16 paid days allowance (which includes 8 bank holidays/Festive closures) True flexible working between the hours of 7:00 am > 7:00 pm Remote working This role is required to be onsite in Cardiff at least once per month. Free onsite parking when attending site The opportunity to contribute to local & national educational services A highly rewarding environment Career stability in a thriving sector For more information and the full job specification please call Nathan Handley on (phone number removed) or click APPLY now. Please note, we do not hold the ability to provide sponsorship or relocation packages.