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 £

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SPRINGER NATURE Based on 2 job offers	31250 $
WESTBURY PARTNERS	26666 $
ParagonAlpha Based on 2 job offers	16666 £
LEGAL & GENERAL Based on 2 job offers	16000 £
TWENTYAI Based on 2 job offers	16000 £
PARTNERSHIP RECRUITMENT	15000 £
BRIDGE OF HOPE FOUNDATION Based on 2 job offers	15000 £
SOLUTIONS ENGINEERING Based on 2 job offers	14000 £
ENERGIZE RECRUITMENT SOLUTIONS	12000 £
TECHNOLOGY SOURCE	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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