AI Jobs

Experience Requirements:

• Extensive experience in B2B marketing, specifically in scale-ups or high-growth tech

• Proven experience across product marketing, demand generation, content, and brand

• Strong ability to market complex technical products to sophisticated buyers

• Experience working with sales teams on long, consultative sales cycles

• Experience in defence, government, aerospace, AI, or deep-tech (desirable)

Other Requirements:

• Excellent written and verbal communication skills

• Strategic mindset with a strong bias toward execution

• Familiarity with procurement-driven and security-conscious customers (desirable)

• Experience building or scaling a marketing function (desirable)

Responsibilities:

• Define and execute the overall marketing strategy aligned to company growth

• Own product positioning, messaging, and value propositions for AI technologies

• Design and execute integrated campaigns to support pipeline growth

• Build a trusted, authoritative brand in the defence and AI ecosystem

• Own content strategy across web, presentations, whitepapers, and social channels

Education Requirements:

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, NLP, or a related technical field

Experience Requirements:

• 3+ years of hands-on experience applying machine learning in production settings

• Practical expertise with Generative AI techniques (LLMs, RAG, agentic workflows)

• Strong Python development skills

• Familiarity with modern ML and NLP frameworks (Hugging Face, spaCy, PyTorch, Scikit-learn)

• Exposure to systems integration challenges (e.g., PostgreSQL, Elasticsearch)

Other Requirements:

• National security vetting (UKSV) requirement

• Familiarity with Kubernetes and infrastructure for scaling ML models

• Clear, confident communicator who can bridge technical depth and product impact

• A curious mindset and ability to experiment with new tools

Responsibilities:

• Design and develop machine learning models and algorithmic solutions

• Partner with product managers and engineers to deliver ML-powered features

• Engineer solutions with understanding of algorithmic complexity and operational cost

• Communicate model choices, assumptions, and tradeoffs clearly

• Take full ownership from early experimentation through to deployment and optimisation

Education Requirements:

• Qualified solicitor/lawyer

Experience Requirements:

• 5+ PQE with strong post-qualification experience

• Experience either in-house or in private practice

• Experience in technology, software, AI or Defence sectors (desirable)

• Experience working in a start-up or other fast-paced and dynamic environment (desirable)

Other Requirements:

• Ability to work independently and autonomously

• Commercial and pragmatic approach

• Ability to manage and prioritise matters and competing stakeholder demands

• Enthusiasm for new challenges and upskilling in different areas of law

• Strong communication skills

Responsibilities:

• Managing Adarga’s general commercial legal responsibilities

• Reviewing, drafting and negotiating a wide range of commercial agreements

• Advising on legal issues and risks in areas such as employment law, IP and privacy

• Advising on special projects such as new product developments, fundraising and M&A

• Reviewing and implementing company policies and procedures

Experience Requirements:

• Proven experience building distributed systems, data pipelines, or infrastructure

• Deep proficiency in at least one modern backend programming language (Python, Rust, Go)

• Experience architecting systems that handle diverse data types (text, geospatial, sensor)

• Familiarity with container orchestration (Kubernetes) across cloud, edge, and air-gapped environments

• Track record of designing and delivering complex platforms

Other Requirements:

• National security vetting (UKSV) requirement

• Strong systems thinker and collaborative mindset

• Growth-oriented engineer who thrives in ambiguity and iterates fast

• Comfortable working autonomously and making early design decisions

Responsibilities:

• Architect and implement core infrastructure for a high-performance adaptive platform

• Build robust, scalable pipelines for ingesting and transforming multimodal data

• Design systems for knowledge representation and ontological reasoning

• Develop composable services for deployment across cloud, edge, and on-prem

• Collaborate with domain experts to understand operational constraints and mission needs

Benefits:

• Generous remuneration and stock units

• Education allowance up to €4,000 per annum

• Pension

• Health Insurance

• Life Assurance (x4 times annual salary)

Experience Requirements:

• 3+ years of Closing Sales experience

• Consultative selling and closing skills

• Accurate forecasting and pipeline management

• Track record as a high performer

• High-growth 'scale up' environment experience

Other Requirements:

• Fluency in English (Dutch or French nice to have)

• Must be based in the UK

• Humility and enthusiasm

Responsibilities:

• Use inbound selling strategies to find new business

• Identify challenges face by prospective customers

• Close new business at or above quota

• Nurture relationships with qualified opportunities

• Work collaboratively with marketing and technology

Benefits:

• Founding role

• Dedicated Researcher support

• Creative control

• Access to in-house studio

• Budget for production

Experience Requirements:

• Senior range in production/editing

• Experience growing media channels

• Speed and judgement in Adobe Suite

• After Effects knowledge

Other Requirements:

• Premiere Pro proficiency

• Ability to coordinate shoots

• Strategic channel growth mindset

Responsibilities:

• Act as Executive Producer and Showrunner

• Build content machine workflow

• Edit high-stakes studio shows

• Optimise content for reach/retention

• Hire and lead production team

Benefits:

• 25 days holiday

• Private healthcare

• Gym membership

• Central London office

• All the equipment you need

Experience Requirements:

• Proven experience as a Senior DevOps Engineer or in a similar role

• Strong expertise in AWS services and architecture

• Hands-on experience with Kubernetes and Docker for container orchestration and management

• Proficiency in using Terraform or alternatives for infrastructure as code

• Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins)

Other Requirements:

• Strong scripting skills (e.g., Bash, Python) for automation tasks

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

• Innovative, collaborative, adaptable, and growth oriented

Responsibilities:

• Design, implement, and manage scalable, secure, and resilient infrastructure on AWS

• Develop and maintain CI/CD pipelines using Kubernetes and Docker

• Automate infrastructure provisioning and configuration management using Terraform

• Monitor system performance, identify bottlenecks, and implement solutions

• Collaborate with cross-functional teams to define and implement best practices

Experience Requirements:

• Strong software development background, ideally in JavaScript/TypeScript and/or Python

• Proven experience using and extending Visual Studio Code

• Familiarity with AI developer tools, LLM APIs, and agent frameworks

• Ability to build and explain end-to-end demos using modern dev tooling

• Video production skills — screen recording, editing, and publishing

Other Requirements:

• Portfolio of previously created developer content

• Understanding of developer ecosystems and how to engage technical audiences

Responsibilities:

• Build production-ready demos that showcase real-world developer workflows

• Produce technical blog posts, tutorials, videos, and social media snippets

• Record and edit videos optimized for developer channels like YouTube, LinkedIn, and Twitter

• Collaborate with engineering to ensure content is accurate and developer-ready

• Work with marketing to align content with launch timelines, messaging, and campaigns

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Experience Requirements:

• Experience of successfully leading complex software projects

• Experience of completing code reviews in Python and SQL through Git

• Experience of using SQL and databases

• Experience of leading the design, development, testing, and deployment of software solutions

• Experience of developing data engineering pipelines, backend services and APIs

Other Requirements:

• Extensive knowledge of software engineering concepts and principles

• Understanding of cloud deployment and Linux scripting

• Advanced Docker skills

• Ability to implement CI/CD pipelines

• Strong communication skills

Responsibilities:

• Lead the design, development, testing, and evaluation of complex software engineering solutions

• Build strong client relationships and lead project-centred client interactions

• Oversee the delivery of high-quality code and successful project outcomes

• Build processes for extracting, cleaning and transforming data

• Build AI systems using Large Language Models

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Experience Requirements:

• Experience of contributing to the design, development, testing, and deployment of software solutions

• Experience of working collaboratively as part of a software team

• Strong understanding of software engineering concepts and principles

• Proficiency in at least one programming language

• Intermediate Python, including relevant libraries for data engineering and backend API development

Other Requirements:

• Good understanding of cloud deployment

• Proficiency with Git

• Intermediate Docker

• Effective communication skills

• Effective organisational skills

Responsibilities:

• Contribute to the design, development, testing, and deployment of software solutions

• Work collaboratively within a software engineering team

• Write clean and efficient code in at least one programming language

• Participate in the development and maintenance of backend APIs

• Support cloud deployment of applications

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Experience Requirements:

• Experience in a strategic AI, data, or technology consulting role

• Expertise in Generative AI technologies, LLMs, and their real-world application

• Familiarity with vendor landscape in Generative AI and cloud technologies

• Experience working directly with clients at senior and executive level

• Experience analysing data using tools such as Excel or PowerBI

Other Requirements:

• Ability to communicate complex technical topics to non-technical audiences

• Strong analytical and problem-solving skills

• Effective organisational skills

• Proactive, collaborative attitude

• Ability to work independently

Responsibilities:

• Proactively contribute to AI strategy engagements

• Conduct stakeholder interviews, workshops, and discovery sessions

• Develop recommendations and roadmaps for AI adoption

• Analyse business and operational data to generate insights

• Forecast business outcomes and develop relevant financial models

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Education Requirements:

• Degree in a quantitative field such as mathematics, statistics or data science

Experience Requirements:

• Experience of successfully leading complex data science and AI projects

• Experience completing code reviews in Python and SQL through Git

• Experience of using SQL and databases

• Experience and understanding of applied machine learning techniques in Python

• Practical knowledge and experience of developing AI solutions using advanced machine learning

Other Requirements:

• Ability to think strategically and make complex decisions

• Effective organisational skills

• Effective problem-solving and analytical skills

• Familiarity of the most state-of-the-art AI developments and trends

• Excellent Python proficiency

Responsibilities:

• Lead the design, development, testing, and evaluation of AI solutions

• Build strong client relationships and lead project centred client interactions

• Oversee the delivery of high-quality code and successful project outcomes

• Build processes for extracting, cleaning and transforming data

• Build AI systems using Large Language Models

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Experience Requirements:

• Mastery of at least one programming language (preferably Python)

• Experience in delivering, designing, and deploying scalable software solutions

• Experience in DevOps practices

• Experience with Docker development workflows

• Strong understanding of databases and ORMs

Other Requirements:

• High attention to detail with a thorough approach to code review and testing

• Track record of mentoring and establishing engineering best practices

• Effective communication skills

• Ability to work independently and make architectural decisions

• Strong problem-solving skills and analytical thinking

Responsibilities:

• Contribute to the design, development, and deployment of robust software solutions

• Contribute to architecting and maintaining complex data engineering pipelines

• Support the thorough review of Python and SQL code

• Support cloud-based deployments and infrastructure

• Develop and implement database solutions

Benefits:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

Experience Requirements:

• Proven success as a commercial leader, owning £5M+ annual sales in RPA or Agentic AI

• Demonstrated experience driving the entire sales process

• Experience of developing and maintaining relationships at senior levels

• In depth knowledge of RPA and Agentic AI solutions

Other Requirements:

• Exceptional written and verbal communication skills

• Ability to develop customised presentations, proposals, and pitches

Responsibilities:

• Define and execute a comprehensive Agentic AI strategy

• Analyse market trends, competitive landscape, and emerging AI technologies

• Drive the end-to-end sales cycle

• Establish an account planning and development capability

• Translate company revenue targets into sales goals and KPIs

Education Requirements:

• Strong foundation in mathematics and statistics

Experience Requirements:

• Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions

• Experience and understanding of applied machine learning techniques in Python

• Practical knowledge and experience of developing AI solutions using advanced machine learning techniques

• Experience of working collaboratively as part of a data science team

• Experience of using different analysis techniques to draw insight from data

Other Requirements:

• Excellent communication skills

• Effective organisational skills

• Effective problem-solving and analytical skills

• High attention to detail

• Ability to work independently and as part of a team

Responsibilities:

• Actively contribute to the design, development, testing, and evaluation of data science solutions

• Train and deploy state-of-the-art machine learning and reinforcement learning models

• Build AI systems using Large Language Models

• Build processes for extracting, cleaning and transforming data

• Ad-hoc data mining for insights

Education Requirements:

• Strong foundation in mathematics and statistics

Experience Requirements:

• Experience with applied machine learning techniques in Python

• Experience of working collaboratively as part of a data science team

• Experience of using different analysis techniques to draw insight from data

• Proficiency in Python, including relevant libraries for data analysis and machine learning

• Familiarity with Git as part of the development process

Other Requirements:

• Effective organisational skills

• Effective problem-solving and analytical skills

• High attention to detail

• Ability to work independently

Responsibilities:

• Participate in the design, development, testing, and evaluation of data science solutions

• Train and deploy state-of-the-art machine learning models

• Build processes for extracting, cleaning and transforming data

• Ad-hoc data mining for insights using Python + Jupyter notebooks

• Present insights and predictions in live dashboards

Benefits:

• 25 Days Holiday plus Bank Holidays

• Unlimited Healthy Snacks

• Enhanced Parental Leave

• £500 Learning and Development Budget

• 1-1 Mental Health Support

Experience Requirements:

• Experience in waste management, recycling, MRFs or EPR

• Based in the UK or Europe

• Experience working with industry stakeholders and/or waste data

• Knowledge of the waste industry

Other Requirements:

• Right to work in the UK

• Not open to recruiters

• Authentic screening answers (no AI-generated)

• Excitement about tech and data impact

Responsibilities:

• Work in customer-facing or data-driven roles

• Shape the future of waste recovery

• Track material flows and performance

• Connect with industry stakeholders

• Gain visibility into waste streams

Benefits:

• Competitive pay

• Generous holiday allowance

• Remote-first culture

• Growth & learning

• Impactful work

Education Requirements:

• Degree in a logic, analytical, or consulting-oriented field

Experience Requirements:

• 2–4 years in consulting, implementation, or business analysis

• Experience delivering software in enterprise environments

• Experience with rules engines or BPM platforms

• Domain experience in highly regulated industries

• Mentoring colleagues and leading training

Other Requirements:

• Strong understanding of LLMs and prompt-engineering

• Excellent analytical and debugging skills

• Ability to manipulate JSON and XML formats

• Highly organised and self-motivated

Responsibilities:

• Capture knowledge via workshops and expert interviews

• Lead end-to-end Rainbird platform implementations

• Build reasoning graphs, workflows, and test suites

• Act as a Rainbird platform expert and champion

• Support hiring, onboarding, and mentoring of the team

Benefits:

• Virtual Shares

• 30 days of annual leave

• Mental health resources

• Hack Fridays

• Flexible working hours

Education Requirements:

• Degree in Business Administration or similar, specialising in finance

Experience Requirements:

• Professional experience in Internal Controls or Internal Audit

• Knowledge of accounting (IFRS)

• Experience with SOx compliance software or GRC tools

Other Requirements:

• CIA or CA preferred

• Initiative and hands-on mentality

Responsibilities:

• Build up the SOX programme

• Execute risk-based internal audits

• Perform financial statement reviews

• Lead and document process walkthroughs

• Conduct risk assessments over business processes

Benefits:

• Collaborative research environment

Education Requirements:

• PhD in Computer Science, AI, or a related field

Experience Requirements:

• Publication record in top-tier ML conferences

• Understanding of deep learning and NLP

• Experience with JAX, TensorFlow, or PyTorch

Other Requirements:

• Strong programming skills in Python

• Experience with LLMs or assistive AI agents

Responsibilities:

• Design and evaluate software prototypes

• Push boundary of state of the art RL methods

• Present research findings

• Engage in team collaborations

• Ensure advances are developed ethically