AI Jobs

Benefits:

• Equity options

• 10% employer pension contribution

• Free office lunches

• Flexible working

• Private healthcare

Experience Requirements:

• Deploying Kubernetes clusters across cloud (AWS, Azure) and on-prem

• Infrastructure-as-code tools (Crossplane, Terraform, Helm)

• Networking, security, and observability in containerised environments

• Working directly with external customers or clients

• Customer-led, professional services, or solutions engineering role

Other Requirements:

• Excellent communication skills

• Self-motivated with strong project management skills

• Experience in regulated industries or high-security environments is a plus

Responsibilities:

• Assess infrastructure requirements and security constraints

• Build relationships with customer technical teams

• Design and execute deployment strategies

• Troubleshoot complex deployment issues

• Act as a system validator

Benefits:

• Paid opportunity

• Work with a fun group of colleagues

• Technical growth

• Challenging problems

Education Requirements:

• Currently pursuing a PhD (or final year Masters) degree in Mechanical Engineering, Civil Engineering, Aerospace Engineering, Chemical Engineering or Physics

Experience Requirements:

• Coursework or demonstrated knowledge in fluid mechanics, heat transfer and chemistry

• Familiarity with CFD software Star-CCM+, ANSYS Fluent, COMSOL or OpenFOAM

• Familiarity with parametric CAD design on NX, CATIA or FreeCAD

• Familiarity with HPC environments and Linux

• Familiarity with AI-driven modelling techniques

Other Requirements:

• Must have existing right to work in the UK (no visa sponsorship)

• Strong problem-solving skills

• Excellent communication skills

Responsibilities:

• Develop parametric CAD models and geometry generation workflows

• Build automated CFD pipelines for high-fidelity datasets

• Manage large-scale simulation datasets on cloud HPC

• Implement automated post-processing routines

• Collaborate with Data Scientists and ML Engineers

Benefits:

• Comprehensive health coverage

• Mental health & wellness support

• Immediate 401(k) enrollment

• Generous time off (Unlimited PTO)

• Paid parental leave

Experience Requirements:

• 5+ years of experience in a closing role

• Ability to lead technical enterprise sales evaluations

• Deep understanding of the intellectual property industry

Other Requirements:

• Strong communication and negotiation skills

• High intellectual horsepower

• Relentless drive, urgency, and discipline

• Comfort operating in environments with rapid change

Responsibilities:

• Lead and close high-value deals across EMEA

• Manage the full sales cycle

• Partner with SDRs, Business Development, and Marketing

• Present to multiple stakeholders within prospect organizations

• Help build and refine the sales playbook

Education Requirements:

• Bachelor's, Master's, or PhD degree in Computer Science, Vision & Perception, Robotics, or a related field

Experience Requirements:

• Minimum of 4 years of working experience in computer vision, machine learning, or a related field

• Proven experience in computer vision projects and teams, with a strong portfolio of successful deployments

Other Requirements:

• Proficiency in programming languages such as Python and C++

• Experience with libraries such as OpenCV, TensorFlow, PyTorch

• Experience with Docker and deep learning training on GPUs

• Experience with ROS is a plus

• Knowledge of inference engines and optimization methods

Responsibilities:

• Design, development, and optimization of computer vision algorithms

• Develop high-performance and scalable computer vision and perception algorithms

• Review developer’s code in the team to ensure quality

• Collaborate with robotics and cloud software teams

• Mentor and guide a team of computer vision engineers

Benefits:

• Base salary £150K – £300K

• Significant equity

• World-class compensation

• Work with exceptional colleagues

• Expand your network

Responsibilities:

• Build a distributed system to concurrently replay thousands of sessions

• Integrate Meticulous into the inner loop of agentic code generation

• Derive algorithms to detect sessions that cover differing code paths

• Work directly with engineering leaders across the world's top technology companies

Benefits:

• £150K – £300K

• Offers Equity

• World-class compensation

• Exceptional growth

• Expand your network

Experience Requirements:

• 3+ years of experience in a software development or platform engineering role

• Experience operating production systems on AWS (or other cloud provider)

• Hands-on with Kubernetes and Terraform

• Familiarity with CI/CD pipelines and observability tooling

• On-call experience

Other Requirements:

• Strong technical foundation (Python, TypeScript, systems programming)

• Awareness of security best practices and compliance (SOC 2)

• Cost consciousness

• High drive and bias for action

Responsibilities:

• Architecting Resilient Infrastructure

• Own Production Reliability

• Write Production Code Beyond Infrastructure

• Improve Developer Experience

• Build the playbook

Benefits:

• £80K – £140K

• Offers Equity

• Exceptional growth and mentorship

• Expand your network

• Solve novel technical problems

Education Requirements:

• Degree in computer science, engineering, or a related technical field

Experience Requirements:

• Strong technical foundation

• Solid fundamentals in programming and systems

• Building things outside of structured coursework (startups, open-source, personal projects)

Other Requirements:

• High ownership and motivation

• Entrepreneurial spirit

• Clear communicator

• Willingness to travel (around 25%)

Responsibilities:

• Work with customers to deploy Meticulous at scale

• Improve the product based on real-world usage

• Build strong customer relationships

• Influence product direction

• Help define best practices

Benefits:

• Competitive salary, commission and equity package

• Lots of autonomy and opportunities for growth

• Flexible hours and location

• Occupational pension

• Generous paid parental leave

Experience Requirements:

• 3+ years of experience leading sophisticated enterprise deals

• Experience with complex/frontier technology

• Highly analytical approach to navigating complex organisations

• Proven record as a seasoned expert in the consultative sell

• Experience discussing and selling sophisticated technology products

Other Requirements:

• Customer-focused and able to become a trusted long-term partner

• Strategic and product-minded

• Highly autonomous and entrepreneurial

• Agile and able to constantly evolve approach

• Driven by the transformative potential of AI

Responsibilities:

• Land and expand major accounts

• Own revenue goals and work the full sales cycle (360)

• Collaborate with product and marketing to refine ICP and proposition

• Support the onboarding and growth of accounts

• Own the setup and growth of the insurance effort

Benefits:

• Hybrid working approach (two days in office)

• Culture of mutual trust

• Professional growth opportunities

Experience Requirements:

• 2+ years’ experience in a business development role at a B2B technology organization

• Exceptional written and verbal communication skills in English

• Familiarity with CRM systems

Other Requirements:

• Knowledge of financial services sector is an advantage

• Interest in technology and AI

• Positivity and resourcefulness

Responsibilities:

• Build value-led relationships via email and other channels

• Research target accounts and contacts

• Set up meetings between prospective customers and Sales representatives

• Drive awareness of Hawk event participation

• Execute timely follow-up from event conversations

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

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

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

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

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:

• 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

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 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

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