Salary for engineer

Average salary


3100 £

Basic salary 1000 £
Maximum Wage 7100 £
1000 £
Lowest
4050 £
Average
7100 £
Highest

engineer - How much money do you make working at this position?

The average salary for the engineer position is 3100 £

Companies with the highest earnings in position Engineer
SPRINGER NATURE
Based on 2 job offers
31250 $
26666 $
ParagonAlpha
Based on 2 job offers
16666 £
LEGAL & GENERAL
Based on 2 job offers
16000 £
TWENTYAI
Based on 2 job offers
16000 £
15000 £
BRIDGE OF HOPE FOUNDATION
Based on 2 job offers
15000 £
SOLUTIONS ENGINEERING
Based on 2 job offers
14000 £
12000 £
12000 £

Salary in companies


SPRINGER NATURE 31250 $
1000 £ 31250 $
WESTBURY PARTNERS 26666 $
1000 £ 31250 $
ParagonAlpha 16666 £
1000 £ 31250 $
LEGAL & GENERAL 16000 £
1000 £ 31250 $
TWENTYAI 16000 £
1000 £ 31250 $
PARTNERSHIP RECRUITMENT 15000 £
1000 £ 31250 $
BRIDGE OF HOPE FOUNDATION 15000 £
1000 £ 31250 $
SOLUTIONS ENGINEERING 14000 £
1000 £ 31250 $
ENERGIZE RECRUITMENT SOLUTIONS 12000 £
1000 £ 31250 $
TECHNOLOGY SOURCE 12000 £
1000 £ 31250 $

Comment on the job position of engineer

Benefits


  • mutual

Requirements


  • experience managing a matrixed organization
  • advanced degree in an Engineering discipline or related field and a minimum of 10 years of progressive work experience managing engineering and technical teams; or equivalent combination of education and work experience
  • extensive experience implementing and optimising Algorithms
  • experience in Multithreaded and asynchronous programming
  • adept at working in a Unix/Linux environment
  • A history of producing extensible code with good abstractions
  • previous Trading Experience is great….but not required
  • devout advocate of Solid Coding Principles
  • humble and collaborative approach to team work
  • OO Design
  • expertise in Modern and Low Latency C++
  • extra points for Compiler or Kernel expertise A background in the finance/trading world
  • demonstrable software engineering skills; understands and promotes software engineering methodologies such as BDD, TDD, Extreme programming
  • demonstrable understanding of Authentication and Authorisation; tooling and frameworks, specifications SASL/SCRAM, TLS client authN and experience of implementing
  • demonstrable knowledge of writing RESTful APIs or clients which interact with RESTful APIs, understanding the OpenAPI specification
  • experience in highly regulated environments, such as healthcare or financial services
  • we require candidates who are both technically proficient and able to work well within a team with excellent communication skills
  • demonstrable knowledge of the configuration and operation of Kafka realtime data streaming clusters ; understands concepts of Kafka and Confluent Platform components, configuration, tuning, data integrity, recovery
  • degree in appropriate subject
  • demonstrable knowledge of data transformation techniques and data storage formats; JSON, Avro, unstructured and structured data; ANSI SQL skills and knowledge of RDBMS relational data concepts

Responsibility


  • build machine learning models, tools, and pipelines that support Springer Nature and its customers to advance discovery
  • implement cutting edge ML and data science solutions in partnership with the wider teamÂ
  • being an advocate for MLOps, share thought leadership on tools and best practicesÂ
  • leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
  • increase the adoption of ML and MLOps, standardise ML practices across the organization, improve model management and reporting, and make data led insight accessible to the business
  • work closely with Berkeley Lab management to maintain and upgrade Engineering Division infrastructure as needed
  • paragonAlpha London, United Kingdom
  • posted 4 days ago Permanent £100k - £300k
  • posted by
  • nick Heath
  • principal Consultant
  • follow
  • experience designing and implementing multithreaded and distributed systems
  • proficient with Linux / GCC development toolchain and Linux Red Hat essential
  • I'm working with one of Europe's most successful systematic funds, who have achieved said success by embedding technology and research within their investment ecosystem
  • C++ Engineer working on low-latency trading exchange
  • work closely with a range of investment management professionals including quantitative analysts/developers, traders and operations staff, in order to design and develop cutting edge systems to keep the business at the forefront of its field
  • experience on low latency Linux development using C++/C, STL
  • enhance their Architecture
  • develop cloud service controls for security and privacy at scale, ensuring best practices across infrastructure and deployment processes

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