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Netcompany

Senior AI Developer

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay £30K - 155K a year · our estimate

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Description

The role centres on building, deploying and maintaining machine learning and AI solutions that address real business problems for clients. You will work with senior data scientists, engineers and consultants across the whole lifecycle, from data preparation and model development to production deployment and monitoring.

The team operates across public and private sectors, delivering work from application development and cloud migration to programme delivery and service operations.

Responsibilities

  • Help design and build data science and AI solutions, turning defined requirements into working technical components.
  • Apply established data science and machine learning methods to analyse data and solve business problems, under the direction of senior team members.
  • Build, test and help deploy machine learning models into production. Help design and maintain MLOps pipelines so solutions stay scalable and easy to maintain.
  • Work with clients and internal teams to pin down requirements, and explain technical findings clearly to both technical and non-technical audiences.
  • Apply responsible AI principles and help meet governance and compliance standards in AI and ML work.
  • Mentor and guide junior data scientists and engineers, helping build a culture of technical excellence.

Requirements

  • You must be eligible for security clearance.
  • You are proficient in Python and C. SQL or R is a plus.
  • You have experience with cloud AI services such as Azure ML, AWS SageMaker or GCP Vertex AI.
  • You have hands-on experience with machine learning libraries such as scikit-learn, TensorFlow or PyTorch.
  • You have practical knowledge of techniques including regression, decision trees, random forest, XGBoost, k-means, anomaly detection and time series forecasting.
  • You understand model evaluation and explainability, including overfitting, bias and cross-validation.
  • You have built end-to-end observability and monitoring for AI systems.
  • You have worked with large, complex or messy datasets.
  • You know the challenges and opportunities facing public sector organisations.
  • You have worked with public sector data.
  • You know public sector regulations and compliance requirements.
  • You bring strong analytical and problem-solving skills.
  • You communicate and build relationships well.
  • You can work independently and as part of a team.
  • You are committed to continuous learning and development.

Conditions

The working model is hybrid, with some flexible working.

The role includes 25 days' holiday.

The company is an equal opportunities employer that offers guaranteed interviews to disabled applicants who meet the minimum criteria, if they opt in.

Reasonable adjustments are available during recruitment on request.

Benefits

  • Private medical healthcare through Vitality.
  • Pension contribution and life assurance.
  • Support for professional certifications as part of learning and development.
  • Retail discounts on restaurants, supermarkets, travel, leisure and health and well-being services.
  • Access to employee resource groups that bring together colleagues from diverse backgrounds to connect, learn and support one another.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Netcompany

Office in London, United Kingdom

Also hiring in Leeds, United Kingdom, Brussels, Belgium, Athens, Greece and 6 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

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6 checks

1 red flag

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • PyTorch
  • Azure
Seniority
Senior
Type
Full-time
Specialty
ML
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • SQL
  • AWS
  • PyTorch
  • Azure

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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