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Data Scientist (NLP)

🏢 Travtus 📍 London, England 💼 Full Time
Currency:
£35,000 - £70,000
£2,917 - £5,833 / mo
Verified Corporate Employer (Authorized Corporate Employer)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
London, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark

Position Overview & Specifications

About the role of NLP Engineer

You will be involved in everything NLP, splitting your time between research and delivering production models. You will work closely with the data engineers and software developers to breathe life and skills into our state-of-the-art conversational interface, Adam.

This is a role for an experienced NLP Engineer (Machine Learning Engineer) who works hands-on with the data and product every day, has experience bringing new models into production and is on top of all new NLP news and trends as they happen.

About Travtus, and ADAM

Travtus is an AI R&D Company based in London, developing AI solutions for global industries. Adam is the leading digital employee for rental communities, delivering automation and front-line intelligence through natural conversation. Through Adam, we are changing the way that businesses operate, bringing automation, world-class customer service and new data-intensive solutions.

Tasks

  • Designing, implementing and maintaining Machine Learning Model Pipelines to solve business needs
  • Experimenting with different models and measuring performance and selecting solutions
  • Researching and sharing the latest developments in Natural Language Understanding, Natural Language Generation, and Graph Neural Networks
  • Working with software at all stages of the development lifecycle
  • Defining infrastructure requirements and architecture for Model Training and Inference
  • Reviewing the performance of production models, performing evaluation and tuning
  • Owning the data pipeline required for building reliable data sources for model development

Requirements

  • Must be passionate and knowledgeable about NLP Technology and enjoy monitoring the latest developments and papers
  • Experience in developing machine learning models and taking them through to production
  • Have an engineering mindset and expertise to solve real problems
  • Have good Python development experience working with software at all stages of the development lifecycle
  • Have deep expertise using AI platforms including Pytorch, Tensor flow & AWS Sagemaker
  • Have practical knowledge of the latest transformer language models such as Bert, Roberta, GPT2, etc, and NLP Open Source Libraries e.g. Hugging Face, AI2, OpenAI, Spacy, etc
  • Ideally, have a Masters-level academic background with a focus on language processing

About the Team

Our team is a multi-disciplinary team of experts with everyone contributing their own area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design.

Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new technology area. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion our team displays every day.

Job Types: Full-time, Permanent

Salary: £35,000.00-£70,000.00 per year

Benefits:

  • Discounted or free food
  • Private medical insurance
  • Unlimited paid holidays

Schedule:

  • Monday to Friday

Application question(s):

  • How many Machine Learning Models have you personally taken into production and are live and being used currently?

Experience:

  • NLP: 1 year (required)
  • Python: 2 years (required)

Work Location: Hybrid remote in London, EC2M 7PD

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
Travtus

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Location: London, England
Eligibility: Verified Employer Direct Placement
Schedule: Full Time
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