Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
£70,000 – £100,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, AIIndustries
Requirements
- Expert-level Python with a track record of shipping production LLM systems
- Hands-on experience designing LLM agents and RAG pipelines
- Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines
- Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling)
- Ability to juggle token limits, cost and latency while delivering structured outputs
- A builder mindset (e.g., spending weekends at hackathons or experimenting with models like DeepSeek)
- Excited to work 4 days a week in the London office (WeWork in Aldwych)
- Excited to work with a group of kind, ambitious builders solving challenging problems for enterprise clients
- Fascinated with AI and LLMs, understanding how they are made, what can be done with them, and their future direction
- Ready to work in a fast-paced startup environment with evolving requirements and priorities
Responsibilities
- Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators
- Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D
- Drive advanced prompt-engineering practice to maximise model efficacy
- Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient
- Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the AI Engineer role at Wexler?
The salary range is £70K - £100K.
Is this a remote position or does it require office work?
The role requires working in the office in London at the WeWork in Aldwych.
What are the key technical skills required for this AI Engineer position?
Required skills include expert-level Python with production LLM systems experience, hands-on work designing LLM agents and RAG pipelines, proficiency with AI evaluation frameworks, and solid NLP fundamentals like tokenisation, embeddings, and bias handling.
What is the company culture like at Wexler?
Wexler is a rapidly growing legal AI company based in London, working with top law firms, with a builder-oriented culture where team members enjoy hackathons and experimenting with LLMs.
What makes a strong candidate for this AI Engineer role?
Strong candidates are builders excited about LLMs, with expert Python skills, experience shipping production LLM systems, designing agents and RAG pipelines, and handling NLP fundamentals while optimizing for token limits, cost, and latency.
Pear VC
Venture capital firm for early-stage startups
About Pear VC
Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.
San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees
Risks
Increased competition from other VC firms in AI and biotech sectors.
Potential overvaluation of startups could lead to investment losses.
Regulatory challenges in biotech and healthcare may impact growth strategies.
Differentiation
Pear VC specializes in pre-seed and seed investments across diverse sectors.
The firm offers hands-on strategic advice and operational support to startups.
Pear VC focuses on innovation in AI, fintech, SaaS, healthcare, and deep tech.
Upsides
Growing interest in AI-driven healthcare solutions presents new investment opportunities.
Rising demand for cell engineering platforms suggests lucrative biotech investments.
Fitness tech startups focusing on community building are gaining traction.
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