Machine Learning Engineer

A Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor.,

• Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies


• Deploying scalable and cost effective machine learning systems


• Evolving and maintaining our machine learning stack


• Monitoring and analysing deployed models for performance and costs


• Making effective use of cloud infrastructure in our ML stack
  
  This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing or STEM subjects to at least undergraduate level.


The person we're looking for

Aside from technical expertise, key skills will include communication with stakeholders, ability to understand business requirements and the type of attention to detail that ensures thoroughness in product deployments.

Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources.,
• Familiar with the Python-based data science tech stack


• Python


• Docker & Kubernetes


• AWS Cloud


• Deep learning frameworks - Pytorch and Tensorflow


• HuggingFace ecosystem [optional]


• Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc


• Ability to understand and develop state-of-the-art implementations


• Familiarity with state-of-the-art deep learning (e.g. transformers) and reinforcement learning (e.g. RLHF), as well as optimised training procedures (e.g. QLora & Adapters)


• Comfortable with the machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring


• Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent recognition, entity recognition, text classification etc


• Familiarity with recommendation engines - collaborative filtering, content-based, hybrids, graph & knowledge based etc [optional]


• Familiarity with CUDA and other hardware (GPU) acceleration for deep learning models [optional]
  
  At 15gifts, we believe in a more human approach to digital selling. Powered by a unique combination of sales psychology and AI, our virtual sales advisor understands and mirrors the sales techniques used by the best retail sales people. The result is a digital sales experience that feels truly personal and empowers online customers to make confident, Our success is underpinned by our cultural values. These values are not something we stick up on a wall - they don't need to be. They are behaviours that we recognise and celebrate in each other. They are what we live by every day.


Our Cultural Values

• Positive vibes


• Take the initiative


• Seek feedback


• Stay ahead


• Team 15gifts


Our values are driven through Culture Club. Advocates for our culture as we grow, Culture Club activates ideas, makes improvements and helps everyone to connect.

Our office and remote working

We can confidently say that our sea-view office is one of Brighton's best. Whilst we see huge benefits to being able to collaborate and socialise together again, we've also learnt a lot about the benefits of working from home.

When in the office, we have flexible workspaces, which means you're not tied to a desk, unless you want to be. You could work in a sociable spot on floor 4, or set yourself up with a screen on floor 3. This is everyone's space and it's available after work - our staff host everything from gaming and craft nights to adventure film screenings.


• Employee Assistance Programme (confidential counselling)


• Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)


• easitBrighton travel scheme (discounted public transport options)


• Cycle to work scheme


• Life Insurance scheme


• 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)


• Contributory pension scheme


Other extras in the office

• On site changing rooms, showers and internal bike storage


• Breakfast, fresh fruit, snacks, beers


• Yoga and other fitness activities


• Regular social events, including Friday drinks


Job Types: Full-time, Permanent

Pay: Up to £65,000.00 per year

Benefits:

• Casual dress


• Company events


• Company pension


• Cycle to work scheme


• Health & wellbeing programme


• Life insurance


• Referral programme


• Sick pay


• Work from home


Schedule:

• Monday to Friday