AI/ML Engineer
Hybrid
London, United Kingdom
Full Time
11-03-2025
Job Specifications
Report to: Simon, CTO
Location: London, hybrid. Usually 3 days/week in the office in Monument.
Compensation: £45,000 per annum + 6% employer pension with opportunity for equity.
Start date: ASAP
Visa/sponsorship: Not available
About MannyAI
MannyAI is a VC-backed startup at the forefront of revolutionising the fashion supply chain industry. Our mission is to drive a more sustainable future by reducing garment overproduction through AI-driven solutions.
We are helping transform the industry from large production runs and mass manufacturing to a network of agile factories responding to customer demand. By optimising production processes and creating digital twins, MannyAI enhances the efficiency and speed of small batch garment manufacturing matching supply to demand. By 2034, we aim to abate 10 million tonnes of CO2e annually.
Founded in 2021, our team is made up of 5, working at our HQ in Monument. Shruti, CEO, has a background in manufacturing, having previously owned a factory, in addition to 5 years experience in Silicon Valley startups. Simon, CTO, has over 15 years experience in computer science and data science and founded an award winning data visualisation studio. We’ve raised a pre-seed round from leading European investors and one of the world’s largest manufacturing companies.
Role:
We are seeking an experienced AI engineer with projects in operations research and/or LLM engineering.
If ant colony optimization, reinforcement learning, and heuristics, or fine tuning and training LLMs are your thing we would love to hear from you.
This early hire will play a pivotal role in developing and integrating our software across various factory settings. As a small startup, we are looking for someone who is flexible and can help across a range of tasks and products.
This role will be fundamental to all AI efforts, including implementing and scaling cutting-edge machine learning methods, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other advanced AI techniques to enhance our solutions as needed.
At a fast-moving startup, growth comes with constant change, and responsibilities often extend beyond conventional experience levels. The environment is dynamic, requiring adaptability, problem-solving, and a results-driven mindset. While there is plenty of support, accountability is key, and expectations are high. This is not a typical 9-to-5 role but an opportunity to contribute meaningfully, take ownership, and grow rapidly alongside the company.
Responsibilities:
Software Development: Lead the design and implementation of optimization models, heuristic algorithms and reinforcement learning. Work with a team as needed across all development needs.
AI Integration: Develop and integrate AI solutions, including LLMs, into our software to enhance factory operations.
Site visits and requirements building: Consulting with clients online and via site visits to build requirements for software and optimisations
Collaboration: Work closely with stakeholders and data engineers to understand requirements and ensure seamless integration of solutions.
Testing & Deployment: Design and execute testing strategies to ensure the reliability and effectiveness of the developed solutions. Support deployment in production environments.
Documentation: Create comprehensive documentation outlining functionality, integration points, and usage guidelines.
Troubleshooting: Provide ongoing support and troubleshooting for any issues encountered post-deployment.
Skills & Experience:
Operational Research Expertise: Understanding of linear programming, mixed-integer programming, and heuristic methods.
AI Proficiency: Experience working with AI technologies, specifically Large Language Models (LLMs).
Programming Skills: Strong proficiency in Python and willingness to learn AWS deployment and javascript
System Integration: Familiarity with integrating optimization and AI solutions into larger systems or platforms.
Industry Experience: Prior experience in scheduling or resource allocation problems, preferably in a manufacturing context.
Educational Background: A degree in Operations Research, Industrial Engineering, Computer Science, or a related field is expected.
Professional Experience: At least 2 years of industry experience in relevant roles.
Communication Skills: Excellent communication skills, capable of collaborating with diverse teams and stakeholders.
Growth Potential: This role offers significant growth potential, with the opportunity to lead all AI efforts within the company and report directly to the CTO as the company expands.
Application process
Four stages (max. 5 hours of your time).
Introduction call: initial conversation to get to know each other better, and explore what motivates you (15 mins)
Technical interview: Deep dive into technical experience and relevant skills (30 mins)
Take-home assessment: (max. 2 hours)
Final interview with CTO and CEO (1 hour)
How to Apply: Please send your CV/Portfolio and a short covering letter detailing your relevant experience to ananya@manny-ai.com. Including a link to a GitHub repository showcasing your work with AI would be a bonus.
Join us in transforming the fashion supply chain industry with innovative technology and sustainable practices!
About the Company
Lightning-Fast Production for Fashion Enterprises - AI Production Flow Planner for Busy Apparel and Furniture Factory Teams. We’re transforming production for fashion and furniture enterprises, directly addressing overproduction through our AI Production Flow Planner for factories and a dynamic Sourcing Marketplace for brands. Designed to make small runs more cost-effective and significantly accelerate time-to-market, we are committed to 'Lightning-Fast Sustainable Production'. Know more
Related Jobs
- Company Name
- hireful
- Job Title
- Data Engineer - Azure or Snowflake
- Job Description
- Are you an Azure Data Engineer looking top learn Snowflake? Looking for an Ethical Employer in the ESG space? Maybe one that's certified B-Corp who's data solutions directly help the environment? An employer that offers flexible hours and hybrid working? If sounds like your cup of team please read on.... Role - Data Engineer Location - Central Bristol - 50/50 Home / Office - Flexible Training Salary 50 - 55K 10% Bonus 7% Pension, 28 days, Health cash plan, flexible working, Training The role As a Data Engineer working in an Azure Environment you will lead projects to expand, maintain and evolve their Data Platform as they transition to Snowflake . You will oversee Data Pipelines and new Data feeds and coordinate the Data Engineering Team working closely with the Data Science function. You will have real input into the Data Strategy and work on solution design always with an eye on: performance, security, data quality and governance while mentoring more junior members of the team and working with 3rd parties. You SQL experience with RDBMS like SQL Server or Snowflake ETL experience e.g. Azure Data Factory, Matillion or fbt GIT - SCM CI/CD for Data pipelines - Azure Devops / GIT Python - data processing, automation, and integrating with external systems (e.g., APIs, databases) Any experience of Snowflake would be a bonus Great opportunity to join a rapidly growing business in a fast growing niche Interested? please send you cv for a swift response!
- Company Name
- First Rate Exchange Services
- Job Title
- Senior Data Engineer
- Job Description
- About the job Please note we cannot provide visa support or sponsorship for this role. Applicants must have the legal right to work in the UK without requiring sponsorship now or in the future. First Rate is the UK’s largest supplier of foreign currency and a top 5 currency wholesaler globally. We are one of the foremost foreign exchange (FX) experts in the industry, with a multi-billion pound wholesale business and over 20 years’ trusted experience providing tailor-made travel money solutions for companies in the finance, travel and retail sectors. We have a vacancy for a Senior Data Engineer who will have Technical ownership over First Rate’s data infrastructure, maintaining and continuously developing our data fabric. to own, develop and maintain our MS Fabric. The Role Technical Ownership of Data Infrastructure: Take full responsibility for the end-to-end architecture, management and scalability of our data infrastructure. Development of Data Fabric: Maintain and continuously enhance the data fabric, ensuring data flow, transformation and integration meet the business's evolving needs. Cross-Departmental Collaboration: Work closely with IT, MI and business units to understand and prioritise data needs while implementing technical solutions. Governance and Security: Ensure compliance with data governance policies, security protocols, and best practices for data privacy and protection. Data Architecture Design and Development: Design, implement, and optimise scalable data pipelines and infrastructure in Microsoft Azure, with a focus on MS Fabric, Synapse, and Data Factory. Continuous Improvement: Lead efforts to streamline and improve data processes, ensuring seamless and efficient data ingestion, transformation, storage and querying. Monitoring and Troubleshooting: Proactively monitor data systems to identify bottlenecks, performance issues, and risks, providing timely resolutions. Data Integration: Ensure efficient integration of various data sources across the organisation. Automation and Optimisation: Automate routine tasks such as data backups, ETL processes and error handling to increase operational efficiency. Documentation and Best Practices: Maintain clear documentation on data infrastructure, processes and procedures, ensuring adherence to best practices and standard operating procedures. Leadership and Mentorship: Provide guidance and mentorship to junior engineers, helping foster a collaborative, growth-driven environment within the data team. The Candidate The ideal candidate will have: In-depth knowledge of Microsoft Azure services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake/OneLake, Azure DevOps, and, ideally, MS Fabric). Strong background in data engineering, design of database structures, data warehousing concepts, data modelling, schema design, ETL and data transformation. Well-versed in GitHub, Python, SQL, Spark and DevOps practices and tools, including CI-CD pipelines. Experience in implementing and managing data governance, security and privacy standards in a cloud environment. Proven track record of building scalable data systems and optimising them for performance and cost-efficiency. Professional certifications in Azure (Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert) are a plus. We offer a successful, dynamic and supportive environment where people with talent and dedication can learn, grow and thrive at every level. Diversity Statement First Rate is committed to eliminating discrimination and encouraging diversity in its workforce. We aim to create a culture that respects and values each other’s differences, that promotes dignity, equity and diversity and that encourages individuals to develop and maximise their true potential.
- Company Name
- Harnham
- Job Title
- Market Research Data Analyst
- Job Description
- MARKET RESEARCH DATA ANALYST LONDON – HYBRID (2 DAYS IN OFFICE) UP TO £38,000 + BENEFITS THE COMPANY A leading market research agency is looking for a Market Research Analyst to join their growing analytics team. This is a great opportunity to work on a variety of projects, applying statistical techniques to deliver actionable insights for major clients. You’ll be an integral part of both the analytics and wider research teams, developing your skills in segmentation, driver analysis, and other advanced methodologies. THE ROLE As a Market Research Analyst, you will: Support the design and execution of research projects with an analytical component, such as segmentation and driver analysis. Clean and analyze survey data, producing anything from basic tables to complex data-driven insights. Work closely with internal teams to ensure the appropriate statistical techniques are applied to projects. Develop expertise in both standard and advanced marketing analytics techniques, with support from senior team members. Communicate findings clearly to both technical and non-technical stakeholders. YOUR SKILLS & EXPERIENCE To be successful in this role, you will need: Proficiency in R, including data wrangling (apply family of functions), simple function writing, and string processing. Experience with analytical techniques such as regression (linear, logistic, Shapley), segmentation, MaxDiff, conjoint, and pricing models (Van Westendorp, Gabor-Granger) would be beneficial. Strong Excel and PowerPoint skills for data analysis and reporting. Knowledge of SPSS syntax, Excel Macros, or VBA is a plus. A data-driven mindset, with the ability to interpret key client questions and extract meaningful insights. An appreciation for storytelling with data, ensuring insights go beyond models and techniques. THE BENEFITS Up to £38,000 salary (DOE). Flexible hybrid working (2 days in London office). Hands-on exposure to a wide range of analytical techniques. Opportunity to work on high-profile market research projects with top brands.
- Company Name
- Beauty Pie
- Job Title
- Data Scientist - Experimentation
- Job Description
- We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club. And we’re disrupting the beauty industry, one face cream at a time. Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie. So, what will you be doing? Alongside your manager, working with leaders across Beauty Pie to build a data-driven culture with experimentation at its heart. In partnership with the team, help the different functions across Beauty Pie to run more experiments and leverage insights generated to inform our product strategy. Use your broad exposure to Beauty Pie’s data and priorities to self-identify and recommend areas of optimisation. Alongside your manager, partner with stakeholders to define experiment objectives and translate business objectives into high impact analytical questions and experiments. In partnership with the data team, present findings and recommendations to leaders and stakeholders in a clear and compelling manner. Partner with stakeholders and engineering to design high quality experiments, ensuring that best practice is followed and statistical rigor is maintained. Collaborate with your manager and the wider data team to ensure we deliver impact to the business In partnership with insight analytics team, role model experimentation across Beauty Pie. Stay up-to-date with industry trends, best practices, and emerging technologies in experimentation and statistics We believe it's all about mindset, great skills, the right attitude and a fantastic work ethic. If you’re aligned to our values, excited about the opportunity, and you’re really good at what you do (even if you don’t tick all the boxes) apply anyway! You have strong experience working as a product analyst or data scientist focussed statistical inference, preferably for a consumer-focussed business. You thrive in ambiguity, ask incisive questions, take a structured approach to problem-solving and provide clarity You enjoy collaborating with data peers, in data engineering and data science You're technically confident, and are comfortable analysing complex, cross domain behavioural data through SQL and Python. What makes someone ‘Beauty Pie’? Our culture is our DNA. It defines who we are, how we operate and how we hire. And it all springs from our values, which are very important to us: Bring Your ‘A’ Game: Take ownership & accountability. Make sh*t happen. Grow. Support. Evolve. Invent. Be open-minded. Be Intelligently Rebellious: Challenge the status quo. Push boundaries. Embrace change. Think BIG. Be Customer Obsessed: Listen & learn. Take ownership. Act fast. Be humble & empathetic. Build & keep trust. Be grateful for feedback. It’s All For One (& One For All): Take advantage of collective intelligence. Act with integrity. Support & challenge. Embrace individuality. Do right by our company, our members, our colleagues & our environment. We’re committed to diversity & inclusion As a business that’s based on fairness and self-worth, our commitment to inclusivity runs through the heart of everything we do. We believe that innovation and creativity come from having a diverse workforce, and are committed to building teams with unique identities, from different backgrounds and with individual perspectives. We’ve got a long way to go, but here’s how we’re doing as of June 2024: Employees who identify as female: 68% Employees from minority ethnic backgrounds: 28% Employees who identify as living with a disability: 10% Employees who identify as female in our Product Engineering teams: 32% Employees who identify as LGBTQIA+: 13% A bit about our ways of working We thrive on a high-performance culture where action drives results. At Beauty Pie, we trust our teams to take ownership, move fast, and get the job done. We operate on a hybrid model, with a minimum of three days in the office each week— with some roles requiring more which will be outlined in the job spec. This structure fosters collaboration, maintains momentum, and strengthens our team environment while allowing some flexibility based on job responsibilities and business needs. In-person connection is essential to how we work, and we expect teams to be present and engaged. We encourage open discussions during the interview process to align expectations for the role you are applying for. Your piece of the Beauty Pie: Life & Balance Free Membership to Beauty Pie + discount off our products 25 days holiday & your birthday off / 22 vacation days for the US team Flexible bank holidays Equal leave for all new parents regardless of gender or personal circumstances Health & Wellbeing Private Medical Insurance Menopause support £2,500 / $2,500 to spend on your fertility journey after 2 years service 10 therapy sessions through AXA PPP So, what are you waiting for? Apply now for a chance to be part of an inspirational, international and talented team. Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership. Please let us know, if you require reasonable adjustments at any point during the application and/or recruitment process.