AI Jobs

Responsibilities:

• Perform process set-up and optimization, data analysis and interpretation to identify trends, patterns, and potential issues. Perform DFM analysis. Implement improvement in the manufacturing process for yield and product quality.

• Collaborate with hardware engineer and CM to install machine, perform machine/process validation, establish work procedures, and machine calibration and maintenance.

• Collaborate with cross-functional teams, photonic test engineer, manufacturing, IT, and quality assurance, to troubleshoot issues and improve product performance.

• Collaborate with manufacturing to ensure product delivery on time.

• Collaborate with Aeva engineering team and CM to maintain manufacturing execution system (MES) software interfaces to streamline the testing and data collection process.

Experience Requirements:

• Minimum 6 years of development experience, with at least two years as a machine learning engineer.

Responsibilities:

• Lead the translation of advanced research prototypes into scalable, production-grade software.

• Optimize the utilization of machine learning models, implementing techniques such as early stopping and optimization against adversarial attacks.

• Collaborate closely with data scientists to understand research findings and translate them into practical, scalable solutions.

• Design and implement efficient machine learning systems compatible with diverse data types and integrable with technologies like transformers.

• Drive ambitious projects through collaboration with cross-functional teams, ensuring seamless integration of machine learning technologies across our product suite.

Experience Requirements:

• Minimum of 3 years of experience in manual QA or related fields.

• Experience in identifying and documenting bugs, testing web applications, and working with development teams.

Responsibilities:

• Manually test front-end and back-end systems to ensure functionality, performance, and reliability.

• Collaborate daily with the product team and team leader to review, prioritize, and address reported bugs and system issues.

• Identify and document defects, working with developers to ensure timely resolution.

• Perform regression testing to validate that resolved issues remain fixed.

• Contribute to product design reviews by providing input on potential user experience issues or risks.

Experience Requirements:

• Substantial experience (6+ years) in software development, including python ML technologies and backend technologies.

• Proven ability to transform complex research and algorithms into scalable, market-ready solutions.

Responsibilities:

• Lead, grow, mentor, and manage a team of talented software engineers, ensuring the delivery of high-quality features and products.

• Develop and maintain both the back-end and front-end of DeepKeep’s core applications, contributing as a hands-on developer for 50%-70% of your time.

• Translate advanced research prototypes into scalable, production-grade software, optimizing machine learning models for performance and security (e.g., early stopping, adversarial attack defenses).

• Work closely with cross-functional teams including data scientists, product managers, and machine learning engineers to ensure smooth integration of ML technologies.

• Drive technical excellence and innovation, optimizing distributed AWS systems, serverless architectures, and upholding best practices in code quality.

Education Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.(minimum 4 years of degree).

Experience Requirements:

• 2-4 years of professional experience in backend development using Python.

Responsibilities:

• - Design, develop, and maintain scalable and efficient backend systems using Python and related technologies.

• - Collaborate with other developers, product managers, and stakeholders to understand requirements and translate them into technical solutions.

• - Implement and maintain RESTful APIs for seamless integration with frontend applications and third-party services.

• - Optimize application performance and scalability through code refactoring, database optimization, and other best practices.

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• 5+ years of production/cloud software engineering experience

Other Requirements:

• Proven experience in collaborating with cross-functional teams, including ML scientists and engineers, to develop scalable ML models in production environments.

• Experience with cloud-based ML services (AWS, GCP, etc.), edge computing, and GPU farm management.

• Solid understanding of data science pipelines, model training, and real-time inference systems.

• Passion for working in a fast-paced, collaborative environment with the latest advancements in AI technology.

Responsibilities:

• Design, develop, optimize, and maintain machine learning models for various systems, including front-end integration, back-end services, edge devices, and cloud-based inference and training systems.

• Collaborate closely with our ML scientists and product owners to translate functional requirements into detailed ML engineering plans and implement them in production systems.

• Develop analytics, monitoring tools, and pipelines for data preprocessing, feature engineering, model training, and deployment.

• Participate in on-call rotation to maintain production ML systems, troubleshoot models, and resolve customer issues related to AI performance.

• Stay at the cutting edge of AI technology, experimenting and pushing the boundaries of what's possible with the latest ML frameworks and tools.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• Proven track record in AI or software development projects with a strong portfolio of successful implementations.

Other Requirements:

• Excellent problem-solving skills with an ability to think strategically about customer needs.

• Strong interpersonal and communication skills, with experience in customer-facing roles.

• Ability to translate complex technical details into clear, actionable insights for customers.

Responsibilities:

• Lead the development and implementation of AI-driven solutions, ensuring they align with both technical excellence and customer objectives.

• Act as a technical consultant, understanding customer's needs and translating them into actionable AI strategies.

• Collaborate with cross-functional teams to enhance product offerings and ensure customer satisfaction.

• Serve as a key technical liaison between Groundlight AI and its customers, providing insights and feedback to guide product development.

• Develop and curate engaging content that demonstrates the capabilities of Groundlight’s technologies, including writing blog posts and creating example applications. This will showcase real-world applications and benefits of our AI-driven solutions, helping to educate and inspire both current and prospective customers.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Extensive experience building and deploying Machine Learning models to production

• Experience managing and developing high performing teams of data scientists and ML engineers

Responsibilities:

• Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, retention, payment processing and more

• Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour.

• Impacting Cleo’s bottom line through improving our lending eligibility and decisioning systems

• You’ll be responsible for people management of the data scientists & ML engineers in your squads, coaching and developing them to deliver on the roadmap.

• You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 3-5 years of experience in data science, machine learning engineering, or related roles

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience, recommending the right content and features to make users love Cleo

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Experience in industry machine learning roles as a technical leader or principal/staff engineer.

• Excellent knowledge of both Data Science (python, SQL) and production tools

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Responsibilities:

• People management:

• Technical leadership:

• Delivery ownership:

• Team development:

• Hiring and growth:

Benefits:

• A competitive compensation package (£110,000 + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• industry experience of using React Native / React with TypeScript for a minimum of 2+ years.

Responsibilities:

• Joining a cross-functional product squad with a mix of frontend engineers, designers, UX writers, backend engineers, data analysts and others to develop features that improve our users’ financial health

• Working on our React Native application, building out amazing experiences for our users which bring financial health to life in the unique Cleo tone of voice.

• Writing automated tests alongside your code to give us the confidence to ship it

• Using AB-Tests, feature flags and other tools that let us iterate quickly

• Using data to dig into user journeys, detecting problems and helping to optimise the Cleo experience

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• has at least 5+ years industry experience of using Ruby on Rails.

Responsibilities:

• Staff IC within a cross-functional product squad and collaborating with a mix of engineers, designers, analysts and other disciplines to develop features that enhance our users' financial health.

• Collaborating with other senior peers in your pillar to provide technical insight into upcoming work, and leading the delivery by helping pull everyone together to get it shipped.

• Mentoring colleagues to help them grow as engineers and actively supporting their development.

• Working on our Ruby on Rails monolith, building data models, APIs, and business logic services.

• Delivering your work using agile methodologies and tools like tests, observability, AB-tests, and feature flags.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• has at least 5 years industry experience of using Ruby on Rails.

Responsibilities:

• Leading (in an IC capacity) a cross-functional product squad and collaborating with a mix of engineers, designers, analysts and other disciplines to develop features that enhance our users' financial health.

• Collaborating with other senior peers in your pillar to provide technical insight into upcoming work, and leading the delivery by helping pull everyone together to get it shipped.

• Mentoring colleagues to help them grow as engineers and actively supporting their development.

• Working on our Ruby on Rails monolith, building data models, APIs, and business logic services.

• Delivering your work using agile methodologies and tools like tests, observability, AB-tests, and feature flags.

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.