AI Jobs

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:

• 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:

• 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

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

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

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:

• Discretionary annual bonus program

• Equity incentive plan

• Generous Company benefits program

Experience Requirements:

• 10+ years in IT infrastructure management

• 5+ years LAN, WAN, WLAN design

• Experience installing/troubleshooting wireless or optical networks

Other Requirements:

• Familiarity with Terraform, Ansible, or Python

• Ability to travel to sites

Responsibilities:

• Create Engineering Design Plans (EDPs)

• Maintain Method of Procedures (MOPs)

• Deploy network devices (firewalls, switches)

• Monitor performance dashboards

• Provide Tier 2 expert support

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

Benefits:

• Bonus opportunity

• Equity

Education Requirements:

• Four-year degree or equivalent in information technology, computer science, business, or engineering

Experience Requirements:

• 5 years of experience in technology sales

• 2-5 years of cybersecurity

• Complex solution sales in SaaS, PaaS, IaaS or Networking a plus

• Start-up experience is a plus

Other Requirements:

• Fluency in English required

• Must ideally reside in the UK or Germany

• Travel required

Responsibilities:

• Development of commercial strategy for UKI and Northern Europe

• Strategy with Distributors and Wholesalers, Channel management and Marketing development

• Development of plans for business verticals and business development

• Meet and exceed assigned sales targets by closing new accounts and growing revenue

• Increasing revenue through identifying, recruiting, and developing opportunities

Education Requirements:

• Bachelor’s degree (or equivalent) in a relevant discipline

Experience Requirements:

• Previous experience as a software engineer or security engineer

• Proven experience in application security and vulnerability management

• Led or played a key role in addressing a significant application security incident

• Working knowledge of application security frameworks (e.g. OWASP ASVS, OWASP Top 10)

• Hands-on experience with application security tooling (e.g. SAST/DAST/IAST)

Other Requirements:

• Experience scoping, managing, and interpreting third-party penetration testing

• Ability to make sound, risk-based decisions independently

• Experience building or scaling an application security programme

Responsibilities:

• Define, lead, and mature application-focused security reviews and risk identification

• Lead response activities for application-centric security incidents

• Maintain visibility of application vulnerabilities and track remediation progress

• Partner with engineering teams to embed secure design principles and threat modelling

• Define and deliver the roadmap for scaling Wayve’s application security capability

Experience Requirements:

• Proven experience in a senior GRC, information security, or risk management role

• Experience designing and operating information security risk management processes

• Hands-on experience owning or leading external audits (ISO 27001 and/or TISAX)

• Experience developing and maintaining security policies and standards

• Experience defining and reporting security metrics to senior leadership

Other Requirements:

• Experience establishing or scaling a GRC function

• Familiarity with assurance frameworks such as SOC2 or NIST CSF

• Experience with third-party security risk management at scale

Responsibilities:

• Own and operate information security risk management framework and processes

• Own the lifecycle of information security policies and standards

• Own the definition and oversight of security awareness and training approach

• Define and operate Wayve’s security assurance approach

• Coordinate delivery of external audits and certifications (TISAX, ISO 27001)

Education Requirements:

• Bachelor’s degree (or equivalent) in any relevant discipline

Experience Requirements:

• Proven experience in security operations, monitoring/detection, and vulnerability management

• Led or played a key role in responding to a significant cyber security incident

• Knowledge of security operations frameworks (e.g. MITRE ATT&CK) and detection engineering

• Hands-on experience with security tools (SIEM, EDR, logging platforms)

• Ability to make sound decisions independently in time-sensitive situations

Other Requirements:

• Experience building or scaling a SOC

• Familiarity with safety-critical and/or operational environments

• Relevant security certifications (e.g. GCIH, GSOC, OSCP)

Responsibilities:

• Operate and mature real-time monitoring and malicious activity detection

• Lead response activities, coordinate containment, investigation, and recovery

• Track vulnerabilities across systems and monitor remediation progress

• Maintain up-to-date view of threat landscape and proactively hunt for compromise

• Define and deliver a roadmap for scaling security operations capability

Experience Requirements:

• Strong hands-on experience with model introspection/interpretability techniques

• Experience building and training deep learning models in frameworks like PyTorch

• Proven ability to productionise research ideas into reliable, scalable tools

• Strong software engineering skills (testing, version control, maintainable code)

• Ability to translate complex model behaviour into actionable insights

Other Requirements:

• Experience with multimodal or temporal models

• Familiarity with evaluation pipelines or offline testing frameworks

• Experience building internal developer tools or ML-focused UIs

Responsibilities:

• Design and implement model introspection methods (saliency, attention visualisation)

• Productionise and scale introspection tooling for triage and evaluation workflows

• Identify informative internal representations for debugging and model comparison

• Collaborate with Simulation and Measurement teams to predict on-road performance

• Build intuitive tools and interfaces for making complex behavior accessible

Benefits:

• Remote-first setup with flexible hours

• 30 days vacation

• Competitive salary & stock options

• Monthly sports allowance

• Annual learning & development budget

Education Requirements:

• Software engineering background

Experience Requirements:

• Significant experience in Sales Engineering, Consulting/Implementation

• Practical Python skills for scripting and troubleshooting

• Experience with AI/ML workflows

• Strong understanding of modern architectures

• Ability to get hands-on with data, SQL, and light integrations

Other Requirements:

• Strong project leadership and communication

• Commercial awareness

• Focus on measurable outcomes

Responsibilities:

• Lead early discovery to uncover goals, challenges, and KPIs

• Translate customer needs into clear technical and business solutions

• Build demos/POCs that prove value

• Drive the plan to first value

• Track usage, performance, and business outcomes

Benefits:

• Competitive location-adjusted stipend

• Conference and travel support

• Weekly 1:1 mentorship

• Adequate compute resources

• Remote work environment

Experience Requirements:

• Prior publications showing self-directed research

Other Requirements:

• Topic of interest proposal

• Github / scholar / x links

• Analysis of one current project

Responsibilities:

• Spend 80% of time on own research

• Focus on high risk frontier research

• Participate in wider research programs

• Produce 1-2 papers with code per year

• Write a final report if publication is unmet

Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Experience Requirements:

• Preferred: experience in customer-facing, education, marketing, data or operations roles

Other Requirements:

• Excellent written and verbal communication skills

• Strong empathy and ability to build trust

• Confidence using AI tools and data insights

• Proactive and solution-focused

• Strong organisational and time management skills

Responsibilities:

• Deliver exceptional customer experiences

• Manage escalations and feedback with empathy

• Work alongside AI-powered support tools

• Support with School’s onboarding and technical troubleshooting

• Build strong relationships with teachers

Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Education Requirements:

• Strong subject knowledge in chemistry, biology and physics (ideally with fluency in maths up to A-Level)

Experience Requirements:

• Preferred: Experience creating multimedia content

• Preferred: Experience teaching or tutoring science/maths

• Preferred: Some experience with programming

• Preferred: Experience using generative AI tools

Other Requirements:

• Ability to quickly learn new tools

• Clear and accurate written communication

• Strong attention to detail

• Ability to manage time effectively

Responsibilities:

• Produce high-quality visual assets (animations and diagrams)

• Ensure all quiz content is accurate and high quality

• Review and edit lesson scripts for technical accuracy

• Collaborate with a small team to meet deadlines

• Fix past issues on live courses where required

Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Experience Requirements:

• Hands-on experience working on data modelling and analytics engineering using the dbt ecosystem

• Experience owning a data roadmap and delivering meaningful outcomes

• Strong product analytics capability

• Experience designing or leading statistical tests or experiments

• Practical experience implementing data governance

Other Requirements:

• Entrepreneurial mindset and can-do attitude

• AI-fluent and excited to automate/re-engineer workflows

• Strong ability to interact cross-functionally

Responsibilities:

• Own the Data roadmap and deliver quarterly plans

• Strengthen use of measurement in product processes

• Level up the metric system and decision-making across the company

• Lead the next ‘Measuring Learning’ impact evaluation

• Own responsible AI for learner data and data privacy assurance