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  • Location: Central London
  • Salary: £70000.00 - £100000.00 per annum
  • Job type: Permanent
  • Sector: Development, Enterprise Applications
This vacancy has now expired.


My client designs and builds powerful analytics-based solutions and deliver a unique combination of domain expertise and analytics know-how through the use of cutting-edge & leading technologies. Their interdisciplinary teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through creating tools and apps and applying leading edge analytics approaches, data, and technology to everyday problems. Their global data and analytics offerings and teams (specifically) are recognised as some of the best in the world allowing fast and trusted options to search, frame, and share data.
The ideal candidate for this role will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. As a strong software expert in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data and you will also help envision, build, deploy and develop their next generation of data engines and tools.


  • Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.)
  • Strong skills in parallel processing technologies and languages: Hadoop, Spark, Scala etc.
  • Experience with Python applied to machine learning (Pandas, Scikit-learn, Scipy, Numpy etc.)
  • Strong knowledge of machine learning techniques required (KNN, random forest, Bayesian statistics etc.)
  • Strong knowledge of machine learning techniques preferred (TensorFlow, Keras, PyTorch,Caffe, MxNet)
  • Cloud: AWS/GCP/Azure
  • DevOps: Kubernetes, Docker, CI/CD
  • Building REST API
  • Knowledge of relational database management: SQL, PostgreSQL, Microsoft SQL etc.
  • Knowledge of NoSQL databases (MongoDB, Neo4j, Redis etc.)
  • Unix-based command line & development tools


Capita IT Resourcing is acting as an Employment Agency in relation to this vacancy.

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