116 AI Strategy jobs in the United Kingdom

Who are we?

IOG, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally.

We invest in the unknown, applying our curiosity and desire for positive change to everything we do. By fueling creativity, innovation, and progress within our teams, our products and services are designed for people to be fearless, to be changemakers.

What the role involves:

The "Big AI" program within our AI Group tackles strategic, complex, and often ambiguous problems that are top-of-mind for our executive leadership. These initiatives involve multi-phase or long-term projects, significant data and computational resources, and aim to shape the future direction of IOG strategies and products.

As a Senior AI Specialist focusing on Big AI, you will be instrumental in designing and implementing custom AI solutions to address these critical business challenges. You will work with local and external models, engage in sophisticated prompt optimization, workflow and AI agent design, and help formalize business workflows for AI to understand, reason about, and optimize. This role requires a blend of deep technical expertise, strategic thinking, and the ability to translate complex business processes or tasks into effective AI agent architectures/workflows. Collaboration with UI/UX teams or conceptualizing user interactions for AI tools may be involved to ensure the usability of developed solutions.

Strategic Problem Framing & Stakeholder Engagement

• Collaborate closely with executive stakeholders and subject matter experts to define, scope, and understand complex strategic questions and business challenges suitable for Big AI intervention.
• Communicate complex AI methodologies and findings in a clear, concise, and compelling manner to diverse audiences, including executive leadership and non-technical stakeholders.

AI & Machine Learning Solution Development

• Design, develop, and implement custom AI and machine learning models (including LLMs, deep learning, and NLP) to analyze large-scale datasets and extract actionable insights that inform strategic decisions (e.g., optimizing product strategy, enhancing operational efficiency).
• Lead the technical approach for Big AI projects, including prompt engineering, designing AI agents, and defining evaluation milestones and analytical checkpoints.
• Conduct in-depth exploratory data analysis and leverage advanced statistical techniques to uncover patterns, trends, and opportunities relevant to IOG’s strategic interests.
• Develop and implement frameworks for evaluating the performance and business impact of Big AI solutions, aiming for significant value creation (e.g., cost savings, risk mitigation, new opportunities, improvements in key performance indicators).

AI Agent Architecture & Workflow Optimization

• Pioneer methods for formalizing business workflows (e.g., representing how customer support queries are resolved) in a way that allows AI models (particularly LLMs) to judge, reason about, and propose optimizations for these processes.

Cross-Functional Alignment & Collaboration

• Work with the AI Group to implement and conduct retrospectives on Big AI projects, contributing to a cycle of continuous learning and improvement.
• Collaborate with internal teams (e.g., Research, ICT, Legal) and external partners to ensure the successful deployment and ethical use of AI solutions.

Alignment with SIO & BOS

• Collaborate with the SIO and BOS Design Team to ensure AI initiatives are strategically aligned, measurable, and effectively integrated into business operations.
• Embed AI-driven insights into enterprise planning and decision-making processes (SIO).
• Contribute to the development of performance metrics to assess the impact of AI solutions (SIO).
• Support the design and optimization of business workflows that align with BOS frameworks and governance.

Innovation & Best Practices

• Stay at the forefront of advancements in AI, machine learning, and related fields, and champion the adoption of cutting-edge techniques and best practices within the AI Group.

Requirements

Who you are:

• Master’s degree or PhD in a quantitative or technical field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering), or equivalent practical experience.
• 10+ years of hands-on experience in applied data science, AI research, or machine learning, with a portfolio of projects demonstrating impact on strategic decision-making or complex problem-solving.
• Strong experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, and understanding their capabilities and limitations.
• Experience with LLM deployment, monitoring, and quality assurance methodologies (e.g., evaluation frameworks, LLM-as-judge, red teaming, A/B testing for LLM applications).
• Demonstrable experience or strong theoretical understanding of designing and implementing AI agents or complex, multi-step AI workflows.
• Proven track record of developing and deploying sophisticated AI/ML models that have delivered measurable business value.
• Significant experience and expertise in statistical analysis, machine learning (e.g., supervised/unsupervised learning, deep learning, reinforcement learning), and AI model development.
• Proven ability to translate ambiguous and complex business problems into well-defined AI/ML projects with clear objectives and deliverables.
• Expert-level proficiency in Python and extensive experience with core data science and machine learning libraries/frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers).
• Outstanding analytical, problem-solving, and critical thinking skills, with a knack for dissecting complex issues and devising innovative solutions.
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate sophisticated technical concepts to non-technical audiences and influence senior stakeholders.
• Demonstrated leadership qualities, including the ability to take ownership of complex projects and drive them to completion.
• A highly collaborative mindset, with experience working effectively in cross-functional teams.
• Self-motivated, proactive, and intellectually curious, with a passion for continuous learning and applying AI to solve real-world strategic challenges.
• Ability to work independently and effectively in a remote, globally distributed team environment.

Benefits

• Remote work
• Laptop reimbursement
• New starter package to buy hardware essentials (headphones, monitor, etc)
• Learning & Development opportunities
• Competitive PTO 

At IOG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Title: Head of Generative AI Strategy & Implementation - Academic

Salary: £66,900 - £89,550

Location: Cambridge/Hybrid

Contract: Permanent

 

We're seeking a visionary and strategically minded leader to join our Academic publishing technology team as Head of Generative AI Strategy & Implementation. In this pivotal role, you will shape and lead the integration of Generative AI across our Academic business, helping us to reimagine the future of scholarly publishing.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

 

About the role

You'll work at the intersection of technology, research, and publishing, defining how Generative AI can unlock new value, improve quality,.

£400 - £500 per day | Remote / UK-Based | Contract / Freelance

Are you an expert in Artificial Intelligence (AI) and Machine Learning (ML) looking for flexible freelance opportunities? We are seeking an experienced AI Trainer to deliver AI and Machine Learning training courses to professionals and organisations across the UK.

As part.

WHJS1_UKTJ

Role: Machine Learning Operations Engineer
Location: Oxfordshire
Salary: 65,000 - 75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

• Maintain and improve ML Ops infrastructure
• Manage on premise Kubernetes clusters and ML pipelines
• Integrate ML toolkits into operational workflows
• Collaborate with ML developers to streamline workflows
• Suggest and implement technical improvements and new tools

Required Skills and Experience

• Academic background (research Masters level) or industry experience in a relevant field
• Strong experience managing on premise Kubernetes clusters
• Deep knowledge of Kubeflow or similar systems such as MLflow
• Proficient in Python and experienced with Linux systems
• Familiar with AWS services such as Cognito, S3, EC2 and Lambda
• Experience working with ML frameworks such as PyTorch or Lightning
• Capable of designing and delivering ML Ops solutions across various platforms

Desirable Skills

• Background in DevOps with experience in CI systems such as Jenkins
• Familiarity with infrastructure as code tools such as Ansible
• Interest in human motion capture, sports tech, or animation
• Exposure to C++ is a bonus

Benefits

• 65,000 - 75,000 (DOE)
• 10 percent company pension
• 25 days annual leave plus bank holidays
• Life assurance
• Private medical insurance including dental and optical
• Permanent health insurance
• Cycle to work scheme
• Free on site parking

WR Engineering are the #1 recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent and contract jobs UK wide.

WR is acting as an Employment Agency in relation to this vacancy.

Job Description:

We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform).

Responsibilities:

• Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed.
li>Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
• Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering.
• Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters.
• Ensure the model input parameters are version-controlled and logged to the model execution runs for auditability.
• Ensure model metrics are logged to the model runs.
• Ensure model logging, monitoring, and alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run of the model involves running of multiple experiments and choosing the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner.
li>Ensure the model is triggered to run as per the defined schedule. If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies.
• Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future
• models to benefit.
• Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain.
• Implement CI/CD pipelines for ML models and automate the deployment.
• Maintain relevant documentation.

Requirements:

• Bachelor's degree in a relevant field.
• Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes.
• Strong understanding of banking and financial industry practices and regulations.
• Solid knowledge of Data Management process, data analysis and modelling techniques.
• Experience in monetary policy analysis (nice to have)
• Experience in time series database analysis
• Familiarity with business intelligence tools and concepts.
• Strong analytical and problem-solving skills.
• Experience in managing software development lifecycles within Agile frameworks to ensure timely and high-quality delivery.
• Excellent communication and collaboration skills.
• Ability to adapt to changing requirements and priorities in a fast-paced environment.

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

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